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@@ComputerVisionEngineer hi Felipe, will this wonderful tutorial work with the current YOLOv8 version and its dependencies? or we need the exact versions you used in this video? will there be errors? compatibility issues?
the fact that you have shown how to do it in both colab and locally is just amazing. you are sooo underrated. please don't stop making content. your content is sooo awesome
clarity 100 % conciseness 100% examples, veraious possible errors and usefulness 100% been looking a perfect tutorial for weeks on how to fine tune data and stuff and this is hands down the best video on the internet!
Been working something similar for a hackathon in my freshman year, first thought was to build a CNN from scratch (with no prior knowledge in computer vision) , then came across this video, you are a lifesaver man.
The video is of high quality, simple and practical, and avoids a lot of boring and difficult computer knowledge. As a beginner, I feel that I have received new knowledge, thank you.
I rarely comment on any videos, but yours was really one of a kind, love your way of explanation and teaching, wishing you well and truly thank you for your efforts!
I am an aspiring AI engineer that is currently taking Electrical engineering in college. I am thankful to have found your channel today. I can now binge watch quality computer vision tutorials. 🎉🎉🎉
Dude you are great ! At the begining i was struggling with your accent but it ended up well. I learned new things from you, such as data annotation, implementing YOLOv8. I am grateful to you.
Thanks a lot for this tutorial! I have spent hours in other tutorials that ended up being a copy paste of steps in Jupiter, but you went the extra mile to show and help us understand the whole process in our own computers. This is really good work and is helping us learn a lot. Thanks heaps!
Hey I am working on the same project and I have some problem while training the model. So can you help me out. Can you please send me your number so that I can ask my doubt as I have my hackathon tomorrow and its really urgent
Thank you very much for the amazing tutorial please keep making these videos no such material is on RUclips very very helpful for each aspiring student
thank you my man you wouldnt believe how much gratitude i have for this video and the fact you even showed how to run it locally as well. thanks man i reallly mean it.
I really love this channel he explains everything that you needed to know, 1 hour long video is not boring for a good teacher but 15 min. long video is too boring if the teacher is not good. keep on posting I am learning a lot from this channel
Hello and many thanks for this great tutorial , i have one question maybe not covered...when you annotate your pictures you don't tell about picture size harmonisation. Is it compulsory for better results ?
Thank you for the great video! Would love for you to dive into the fine-tuning and optimisation for this model. Do you have anything like that? For example, improving results using statistics of the ground truth images, hyper parameter tuning, etc...
Hi! This was a great intro and really good explanation and it helped me get going with my 'recognize bees' project 🐝 Thanks for sharing your knowledge and you now got a new subscriber ;-)
Hey, I am facing an issue where evrything's running fine, even my results are also getting saved but still there is ( no detection ) written.! How to resolve this I have tried 2/3 times
Have issue where when scanning the images its "2 images, 0 background, 100% corrupt" The code runs but the result is no detection.the curves were flat especialy in prediction and recall. Any help?
Thank you so much for your help in this video. The way you broke down each step of the process helped way beyond everything else I have found. Too many demonstration videos assume too much. You didn't. Thanks, again.
Amazing Tutorial, After days of trying to figure vision models out with AI help and videos, your video was the only thing that managed to put me on the right track, I only ran into one issue but managed to figure it out pretty easily, Now I have this thing producing semi supervised datasets for further training, I Subscribed You Definitely deserve more attention. I didn't have to re watch the video, overly pause it to understand what is going on, Super easy to follow along, Overall one of - if not the best guide/tutorial videos out there! Thanks For the knowledge my guy, God bless!
Loved the way you explained it. You are just like a COOL PROFESSOR👨🏫. Yes, this worked well for me😇. Fan, the way you are saying " many ,many, many , many., many.......🤩🤩😍😅😂🤣😆"
I really appreciate you sharing such a tutorial. I ran both Yolov5 and Yolov8 on my custom dataset, but the result of Yolov5 is more satisfying. Can it happen, or did I make some mistakes during my training process?
Thank you so much for covering different ways to do the job!!!! I've been struggling over the past 2 weeks bcuz every tutorial showed a single method and I kept running into some kind of error each time and had to redo the whole process so many times and downloaded a bunch of useless stuff >.
Sos un genio hermano, ya sabia que si no eras Argentino eras Uruguayo jajajajajaja. Has pensado en subir los videos en español también? Sé que somos pocos loquitos en el tema, pero preguntaba por comodidad nomás. Un saludo!!!!
I am a beginner to python and deep learning. I learnt a lot from your videos. Can you please tell me what is this python interface and how to install it. Thank you very much.
Buenas tardes, El video está muy bien explicado!!! ,sólo algunas dudas de la configuración de las carpetas y cuál es la mínima cantidad de fotos para tener un buen rendimiento.
I used another random dataset with 1000 images in train and 100 images in validation, and I tried to keep val and train datasets different in the config.yaml. The results generated on every graph in (results.png) consist of a single dot. Should I choose the train dataset and validation dataset for correct results? Can you please help me? Regards🌼🌻🌼 *Edit: I got my issue resolved; I just used 20 epochs instead of one Thanks for such a great and only video on yolov8 that is crystal clear about every point.
best tutorial i found about training with volov8. congrats. On the final stage, you do some prediction tests with videos. Could you guide usto do that test but with images uploaded by the user? Example: user upload an image (photo), and after its uploaded the system detects objects on it. Thanks in advance! you have my suscription and thumbs up allways!
Thank you for your support! Inference is covered in other videos, for example this one is about object detection on frames of a video ruclips.net/video/jIRRuGN0j5E/видео.html 🙌
Really helpful Video for understanding the procedure and I admire the simplicity! Can you please explain how to test with an image and display the output with the bounding boxes and class label?
thank you very much for your efforts and how to clear the stored data after a period of time so as not to fill the storage memory. and how can we add other classes?
thank you for the amazing tutorial! I was able to train YoloV8 on a custom data, but I was wondering how I can continue to train it using weights from previous training sessions. In other words, how do i make the second training session include the knowledge it gained from the first training session?
Awesome video, thanks for talking the time to make it! Would you be able to suggest an interesting way to extend the YOLO algorithm? I am researching ideas for a Masters project in AI…
Great Video for beginners ♥ A video about training an actual useful dataset like escooters and escooters + driver would be cool. If not possible with training, do it with code, like checking if a person and escooter box intersect, etc. And detecting multiple people standing on one scooter and stuff like that. I mean i love alpacas, but i cannot think about a usecase for that or some video to build on top of the previous ones. Just a suggestion to make it more interesting as real projects could be a great YT series :) Greetings from Vienna
@@ComputerVisionEngineer thanks for your answer, i hope you did not misunderstood it, you have great in-depth videos of course and i love them. I just meant to give beginners a more guided journey in form of a series with more practical use case/s. It might still sounds weird and like critique, but it's really just an idea with my chaotic english skills :D Greetings
Thank you very much for the video. After following these videos, I can successfully run this command, but I have an extra few images that I want to detect. How can i use this model to detect?
Thank you for your video. It is absolutely amazing that we can have such a great tutorial. Would you please make a detailed tutorial on how to use the model to test real data of video.
@@ComputerVisionEngineer May I ask how many times you train and the epochs for training to get the model detecting object, I tried to implement the model but it fails to detect. The confusion matrix shows the prediction always wrong😂
Hi, do you mean how to download images from open images v7? Here is a video on how to download an object detection dataset bit.ly/46Ue4kC and here on how to download a semantic segmentation dataset bit.ly/47PUfff 🙌
Can you make a video describing what the graphs in the results mean? What are some suggestions on what to do with my data that could lead my model to have better predictions? Can the graphs guide me there?
I am preparing a course on advanced model evaluation where I am going to explain a super detailed approach on how to evaluate a computer vision model. 🙌
Thanks for this comprehensive tutorial. What if the goal is to add an additional class to the available classes in YOLOV8. Particularly, annotation tool starts annotating from label number 0. However, class 0 is available in corresponding classes in YOLOV8. does CVAT allow to label from the last index of COCO dataset to add a new class to the available ones in YOLOV8?
I'm doing a project where my model will be able to detect PPEs. I'm a beginner so I hope this is good idea to follow this video. Ps you could make a video tutorial 😅
Hola. Me encantan tus vídeos. Conoces algún modelo para detectar superficies planas? Tanto horizontales como verticales, veo que hay teléfonos móviles Iphone que ya lo pueden hacer.
Hello. First of all, thank you for the video; it's very informative content. I couldn't understand why we use the same images for both train and validation. Is the validation set actually our test data?
I am using the same images for train and val just for simplicity, I was trying to showcase the overall process of how to train an object detector. Using different sets for training and validation is the best practice. 🙌
Hello sir, I like this Yolov8 explanation and tutorial, it's amazing but I want to ask something. When you tried to annotate those 452 images of alpacas, did you annotate them all manually or there is a way to automatically do annotate them the faster method if possible?
Probably not, he did mention having annotators around a team whose job is exactly that. Probably not the best job either, but if you want your model to work as intended it's better to do it yourself.
The dataset I used in this video was already annotated. If you are building a dataset from zero there are different ways to 'simplify' the annotation process, like hiring annotators or using a pre trained model to pre annotate the images. 🙌
@@ComputerVisionEngineer mine is about fish underwater type of images, so far I haven't found any pre-trained model based on my dataset. Is there an alternative approach to it?
@@javovichluqsman5492 Take a look at AWS rekognition, you can detect fish using their api. Take a look at my tutorial about how to use AWS rekognition. 🙌
thanks Felipe, as a noob this really helpful... something that i wanna know, how much picture that we need in yolov8n? how much picture of alpaca that u have? are we just submit 14 picture to the cvat or you must submit all picture?
Hi…your videos are really amazing and Informative…Thanks a lot. Actually I am trying to implement a weapon detection using this…and it will be binary classification - normal and weapon…So for annotation process ..Should I annotate the images without weapons as well as label ‘normal’
😃 Hey, thank you for your support! It depends on how you are going to approach this problem; if you want to build a binary image classifier, then you should annotate the images either as 'weapon' or 'normal'. If you would like to follow the same approach I do in the video, you would need to draw a bounding box around each object you want to detect for all the images in your dataset. 🙌
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did u aimbot the alpaca ?
@@johnmcook1 😂 I did not
@@ComputerVisionEngineer hi Felipe, will this wonderful tutorial work with the current YOLOv8 version and its dependencies? or we need the exact versions you used in this video? will there be errors? compatibility issues?
,
Hi...can you please show details how to download and create dataset from openimagedatasetV7
the fact that you have shown how to do it in both colab and locally is just amazing. you are sooo underrated. please don't stop making content. your content is sooo awesome
yes if i was gay or girl i will fall for him but thanks god i am straight but still his work is outstanding.
clarity 100 %
conciseness 100%
examples, veraious possible errors and usefulness 100%
been looking a perfect tutorial for weeks on how to fine tune data and stuff and this is hands down the best video on the internet!
Been working something similar for a hackathon in my freshman year, first thought was to build a CNN from scratch (with no prior knowledge in computer vision) , then came across this video, you are a lifesaver man.
I’m in the exact same situation, I was making from scratch with tensor flow and keras lol
@@hort-dog I was in the exact same situation. I was going to build using pytorch.
The video is of high quality, simple and practical, and avoids a lot of boring and difficult computer knowledge. As a beginner, I feel that I have received new knowledge, thank you.
Thank you!! So glad you enjoyed it and that you found the content helpful! 😃🙌
youre so fluid coherent and elaborate 1 hour felt like 1 minute
😊 Thank you so much for your kind words! Glad you enjoyed the video! 🙌
I rarely comment on any videos, but yours was really one of a kind, love your way of explanation and teaching, wishing you well and truly thank you for your efforts!
Thank you for your support! 😃🙌
I am an aspiring AI engineer that is currently taking Electrical engineering in college. I am thankful to have found your channel today. I can now binge watch quality computer vision tutorials. 🎉🎉🎉
Hey, that is so cool, my background is on electrical engineering too! ⚡I am glad you find my content useful. Happy binge watching! 😃🙌
@@ComputerVisionEngineer me too, i have question how can i use yolov8 in linux terminal
Hey, I explain how to train a model using yolov8 from the terminal in this video, go to minute 41:38! 🙌
@@ComputerVisionEngineer it gives me so many errors while using in ubuntu terminal how can prepare from dataset in ubuntu
have you installed the package in a local environment? what Python version are you using? what errors do you get?
You just gave me a comprehensive insight about annotation of image. Thanks
You are welcome! 😃💪
Dude you are great ! At the begining i was struggling with your accent but it ended up well.
I learned new things from you, such as data annotation, implementing YOLOv8.
I am grateful to you.
😃 Hey, thank you! Glad the videos are useful! I am now uploading subtitles in all my recent videos, to help people understand my accent. 😅💪
@@ComputerVisionEngineer Your accent is great, very easy to listen to and understand. Thank you for this wonderful video
Your videos are really simple and shares good amount of knowledge, as a beginner your videos always helped me a lot
Thanks a lot for this tutorial!
I have spent hours in other tutorials that ended up being a copy paste of steps in Jupiter, but you went the extra mile to show and help us understand the whole process in our own computers.
This is really good work and is helping us learn a lot. Thanks heaps!
Hey I am working on the same project and I have some problem while training the model. So can you help me out. Can you please send me your number so that I can ask my doubt as I have my hackathon tomorrow and its really urgent
this is the most easy to follow tutorial on customized objects and I could train it myself for traffic lights. Thank you so much..bless you!
Thank you! Glad it was helpful! 😃🙌
How did you download PyCharm??@@ComputerVisionEngineer
Thank you very much for the amazing tutorial please keep making these videos no such material is on RUclips very very helpful for each aspiring student
😃 Thank you! I am glad you find it useful. I will continue posting similar videos! 😄🙌
Please make custom dataset video object detection yolov8 code complete explanation - ( the last code in this clip)
Do you mean the inference? Sure, I can do that. 🙌
@@ComputerVisionEngineer yes please thank you sir
Hallo saya dari Indonesia dan sangat berterima kasih kepada kalian para konten kreator yang mengajarkan AI ini❤
thanks, i've graduated thanks to you :D
Thank you so much for this guide! I’m working on a school project and it’s really helping me get past the blocks I encounter.
great work and thanks for the tutorial , you're the first youtuber I have seen answering everyone's comments . Continue the great work !
Thank you! 😊🙌
the best explanation about how to apply Yolo V8. thank you! Your video helps me a lot
Thank you! Glad the videos are useful! 😃🙌
thank you my man you wouldnt believe how much gratitude i have for this video and the fact you even showed how to run it locally as well. thanks man i reallly mean it.
As a cv grad student，i wanna say thanks for your tutorial！！！helping me a lot
😃 You are welcome! I am glad it is helping you, Thomas! 🙌
@@ComputerVisionEngineerI appreciate it! Having a nice day ! My bro!
What if we have more than 1 class? Im trying this for various traffic signs. It only detects stop sign.
Did it not work by using multiple labels, each for a different light signal?
I really love this channel he explains everything that you needed to know, 1 hour long video is not boring for a good teacher but 15 min. long video is too boring if the teacher is not good.
keep on posting I am learning a lot from this channel
Thank you for your support! 😃🙌 I will keep on posting! 💪
Hello and many thanks for this great tutorial , i have one question maybe not covered...when you annotate your pictures you don't tell about picture size harmonisation. Is it compulsory for better results ?
Thank you for the great video! Would love for you to dive into the fine-tuning and optimisation for this model. Do you have anything like that? For example, improving results using statistics of the ground truth images, hyper parameter tuning, etc...
Fine tunning and optimization would be a very good topic for a future video. 🙌
@@ComputerVisionEngineer did you make one
Great video, very detailed. Really stands out from a lot of very confusing and crappy tutorials. Also your accent is so interesting.
I really like watching your tutorials, you have great energy 🥳 and a good way of teaching the concepts 🤓
😃💪💪💪
this is the video I'm looking for. Thank you. Your accent make English clearer for me, so the lesson is very clear.
Cool! Glad to hear you find the video useful! 😃🙌
Hi!
This was a great intro and really good explanation and it helped me get going with my 'recognize bees' project 🐝
Thanks for sharing your knowledge and you now got a new subscriber ;-)
😃 Awesome! Glad the video was helpful. Best of luck in your bees project! 🐝🙌
You have the magic stick, really god teaching
😄 Thank you! Glad you enjoyed it! 🙌
If somebody is having problem with their config.yaml file, try naming the classes like this:
names:
- alpacas
- lamas
- whatever class you have
This is so underrated!
Great video
Hi, nice tutorial. I really enjoyed it. Is it possible for you to make a multi-label classification tutorial using DL algorithms?
Hey, thank you, I am happy you enjoyed it! 😊 Sure, that is a great suggestion, I will try to do a video about that soon! 😃💪
Thx for the video , I trained my first model you re such a nice youtuber
Hey, I am facing an issue where evrything's running fine, even my results are also getting saved but still there is ( no detection ) written.! How to resolve this I have tried 2/3 times
Hey, not sure if I understand, what do you mean there is no detection?
i also am getting this
Have issue where when scanning the images its
"2 images, 0 background, 100% corrupt"
The code runs but the result is no detection.the curves were flat especialy in prediction and recall. Any help?
I am also having same issue! Can anyone help?
Me to I have 200 images with bounding boxes 22 inside background and it doesnt matter if Its 10 100 or 300 epochs No matrix and flat curves
Thank you so much for your help in this video. The way you broke down each step of the process helped way beyond everything else I have found. Too many demonstration videos assume too much. You didn't. Thanks, again.
You are welcome! Glad you find it helpful! 😃🙌
Amazing Tutorial, After days of trying to figure vision models out with AI help and videos, your video was the only thing that managed to put me on the right track, I only ran into one issue but managed to figure it out pretty easily, Now I have this thing producing semi supervised datasets for further training, I Subscribed You Definitely deserve more attention. I didn't have to re watch the video, overly pause it to understand what is going on, Super easy to follow along, Overall one of - if not the best guide/tutorial videos out there! Thanks For the knowledge my guy, God bless!
Thank you for your support! Glad the content is helpful! 😃🙌
thankyou so much. Just starting in this world
Thanks! This is by far the best guide I've found for this process
Thank you! Glad you find it useful! 😃🙌
Loved the way you explained it. You are just like a COOL PROFESSOR👨🏫. Yes, this worked well for me😇. Fan, the way you are saying " many ,many, many , many., many.......🤩🤩😍😅😂🤣😆"
Glad you enjoyed it! 😄🙌
Spectacular tutorial, sir. Thank you.
Thank you very much for your efforts and how to clear stored data after a period of time so as not to fill up the storage memory.
I sincerely appreciate your indepth turial. It kicked started my journery in Computer Vision.
I really appreciate you sharing such a tutorial. I ran both Yolov5 and Yolov8 on my custom dataset, but the result of Yolov5 is more satisfying. Can it happen, or did I make some mistakes during my training process?
I need a thing to do and for that I need to learn ML, and you have so many interesting videos! They all are so tempting! 👍
the best video i have found on how to train yolo v8 thanks a lot
i dont comment much but this was very good
This is a great tutorial!!! the problem is that I don't see exactly how do you test it with the videos. I can't follow that part of the tutorial
Thank you so much for covering different ways to do the job!!!! I've been struggling over the past 2 weeks bcuz every tutorial showed a single method and I kept running into some kind of error each time and had to redo the whole process so many times and downloaded a bunch of useless stuff >.
Yeah I hear you, I've been there! I am happy you found the video helpful! 🤠🙌
Superb tutorial! The best I've seen yet.
Sos un genio hermano, ya sabia que si no eras Argentino eras Uruguayo jajajajajaja. Has pensado en subir los videos en español también? Sé que somos pocos loquitos en el tema, pero preguntaba por comodidad nomás. Un saludo!!!!
Hola! He pensado hacer un canal en español, tal vez lo haga más adelante. Gracias por tu apoyo! 🙌
I am a beginner to python and deep learning. I learnt a lot from your videos. Can you please tell me what is this python interface and how to install it. Thank you very much.
Hi, what Python interface do you mean? The ide? I am using Pycharm.
Thank you so much. Yes I wanted to know it.
Thank you for taking the time to make this video.
Buenas tardes,
El video está muy bien explicado!!! ,sólo algunas dudas de la configuración de las carpetas y cuál es la mínima cantidad de fotos para tener un buen rendimiento.
La cantidad minima de fotos depende, pero en general con algunas miles es suficiente. 🙌
I used another random dataset with 1000 images in train and 100 images in validation, and I tried to keep val and train datasets different in the config.yaml. The results generated on every graph in (results.png) consist of a single dot. Should I choose the train dataset and validation dataset for correct results? Can you please help me?
Regards🌼🌻🌼
*Edit: I got my issue resolved; I just used 20 epochs instead of one
Thanks for such a great and only video on yolov8 that is crystal clear about every point.
best tutorial i found about training with volov8. congrats.
On the final stage, you do some prediction tests with videos. Could you guide usto do that test but with images uploaded by the user? Example: user upload an image (photo), and after its uploaded the system detects objects on it.
Thanks in advance! you have my suscription and thumbs up allways!
never mind. found tutorial on oficial ultralitycs docs
Thank you for your support! Inference is covered in other videos, for example this one is about object detection on frames of a video ruclips.net/video/jIRRuGN0j5E/видео.html 🙌
u saved my project n my life🤓 theenks
You are welcome! Glad the video was useful! 😃🙌
Really helpful Video for understanding the procedure and I admire the simplicity!
Can you please explain how to test with an image and display the output with the bounding boxes and class label?
Thank you! Take a look at the script predict_video.py, I draw the bounding box and the text on top for all frames of the video. 🙌
Thank you for all your efforts, i wanna ask you can you give us a roadmap to learn machine learning ?
Thank you another time
Hey, sure, I will be happy to make a machine learning roadmap! 😃💪
THANK YOU FOR THIS EXCELLENT TUTORIAL
😃🙌
i loved ur accent
TYSMMM this absolutely helped me create my first object detection model TYSMMMMMMM
You are welcome! 😃 Glad you find it useful! 🙌
@@ComputerVisionEngineer yep defiantly the best course abt the topic on youtube
@@ComputerVisionEngineer are you considering doing a yolo nas course??
Great indepth explanation of the entire process. 👍👍
Glad it was helpful!! 😃💪
Thanks a lot!! big thanks for teaching how to do it on a local ide
Thank you sir, you are the best ...Keep up the good work love from india
Thank you so much for your support! 🥰🙌
thank you very much for your efforts and how to clear the stored data after a period of time so as not to fill the storage memory. and how can we add other classes?
bagian detecting video masih belum lengkap 😄, ditunggu kelanjutannya pak 😁🙏
thank you for the amazing tutorial! I was able to train YoloV8 on a custom data, but I was wondering how I can continue to train it using weights from previous training sessions. In other words, how do i make the second training session include the knowledge it gained from the first training session?
This is THE HOLY GUIDE. Thanks!
Glad you enjoyed it! 😄🙌
Thank you very much for the video
Can I run this on a Raspberry Pi
nice mastery of the english language
I am amazed how long a person can talk without saying anything ...
You are many many many (cit.) the best! 😂😂! Thank you!
😂 Thank you for your support! 😃🙌
Abosolutely helpful! So understandable and thank you so much!!!
You are welcome! Glad it is useful! 😃🙌
very good tutorial! Loved it
Perfect explanation, Thank you!
Thank you! Glad you enjoyed it! 😃🙌
37:57 sir you saved my ass..i was unable to solve thus error since 3 nights
Hello Sir! i need help on digital twin topic. Please make video on it. Your videos are very helpful. Thanks
Awesome video, thanks for talking the time to make it! Would you be able to suggest an interesting way to extend the YOLO algorithm? I am researching ideas for a Masters project in AI…
Thank you! 😃 Not sure if I would be able to suggest ideas to extend the YOLO algorithm, but best of luck in your masters degree! 🙌
Great Video for beginners ♥ A video about training an actual useful dataset like escooters and escooters + driver would be cool. If not possible with training, do it with code, like checking if a person and escooter box intersect, etc. And detecting multiple people standing on one scooter and stuff like that. I mean i love alpacas, but i cannot think about a usecase for that or some video to build on top of the previous ones. Just a suggestion to make it more interesting as real projects could be a great YT series :) Greetings from Vienna
Thank you for your recommendations! I will try to make a more practical use case of object detection. Cheers! 😃🙌
@@ComputerVisionEngineer thanks for your answer, i hope you did not misunderstood it, you have great in-depth videos of course and i love them. I just meant to give beginners a more guided journey in form of a series with more practical use case/s. It might still sounds weird and like critique, but it's really just an idea with my chaotic english skills :D Greetings
This tutorial was very helpful for me. Thank you! Is it possible to learn more about visual relationships?
😊 I am glad you found it helpful! Training a model with visual relationships type of annotations would be very cool! I will try to do it. 🙌
Thank you very much for the video. After following these videos, I can successfully run this command, but I have an extra few images that I want to detect. How can i use this model to detect?
Thank you for this amazing video! Ur gonna be gaining a lot of subs and likes at this rate :)
Thank you! You can follow this tutorial for object detection inference using yolov8 ruclips.net/video/jIRRuGN0j5E/видео.html 🙌
@@ComputerVisionEngineer thank you so much
Thank you for your video. It is absolutely amazing that we can have such a great tutorial. Would you please make a detailed tutorial on how to use the model to test real data of video.
Thank you! If you want to inference frames from a video please take a look at the script predict_video.py, it is in the project's github repository. 🙌
@@ComputerVisionEngineer May I ask how many times you train and the epochs for training to get the model detecting object, I tried to implement the model but it fails to detect. The confusion matrix shows the prediction always wrong😂
Thank you, you explained so well and detailed.
You are welcome! Glad you enjoyed it! 😃💪
hello! thank you so much for the clear tutorial. However, can you please explain more how we can use data from open images v7?
Hi, do you mean how to download images from open images v7? Here is a video on how to download an object detection dataset bit.ly/46Ue4kC and here on how to download a semantic segmentation dataset bit.ly/47PUfff 🙌
Can you make a video describing what the graphs in the results mean? What are some suggestions on what to do with my data that could lead my model to have better predictions? Can the graphs guide me there?
I am preparing a course on advanced model evaluation where I am going to explain a super detailed approach on how to evaluate a computer vision model. 🙌
Amazing tutorial!
Can you please tell how can I determine exact values accuracy, precision and f1 score on my testing data?
Can you make a vedio where we can detect multiple classes at realtime and in images using custom dataset it will Amazing
This is fantastic! Excited to give this a shot-appreciate it, mate!
😃 You are welcome!
@@ComputerVisionEngineer do you have any good resources or suggestions for taking this trained model and then doing object counting in an ROI?
Thanks for this comprehensive tutorial. What if the goal is to add an additional class to the available classes in YOLOV8. Particularly, annotation tool starts annotating from label number 0. However, class 0 is available in corresponding classes in YOLOV8. does CVAT allow to label from the last index of COCO dataset to add a new class to the available ones in YOLOV8?
I'm doing a project where my model will be able to detect PPEs. I'm a beginner so I hope this is good idea to follow this video. Ps you could make a video tutorial 😅
Hey Joseph! A PPE detector sounds like a very cool project, good luck with it! 😃💪 I will try to do a video about it! 😉🙌
@@ComputerVisionEngineer I could wait for your video 😊
Hi Felipe, Ultralytics using any standardscale for detecting object.
Original images to standard format
Thank you so much to bring the latest technology
Hola. Me encantan tus vídeos.
Conoces algún modelo para detectar superficies planas? Tanto horizontales como verticales, veo que hay teléfonos móviles Iphone que ya lo pueden hacer.
Hello. First of all, thank you for the video; it's very informative content. I couldn't understand why we use the same images for both train and validation. Is the validation set actually our test data?
I am using the same images for train and val just for simplicity, I was trying to showcase the overall process of how to train an object detector. Using different sets for training and validation is the best practice. 🙌
Hello sir, I like this Yolov8 explanation and tutorial, it's amazing but I want to ask something. When you tried to annotate those 452 images of alpacas, did you annotate them all manually or there is a way to automatically do annotate them the faster method if possible?
Probably not, he did mention having annotators around a team whose job is exactly that. Probably not the best job either, but if you want your model to work as intended it's better to do it yourself.
The dataset I used in this video was already annotated. If you are building a dataset from zero there are different ways to 'simplify' the annotation process, like hiring annotators or using a pre trained model to pre annotate the images. 🙌
@@ComputerVisionEngineer mine is about fish underwater type of images, so far I haven't found any pre-trained model based on my dataset. Is there an alternative approach to it?
@@javovichluqsman5492 Take a look at AWS rekognition, you can detect fish using their api. Take a look at my tutorial about how to use AWS rekognition. 🙌
Best video I have seen! Keep it up!
Thank you!
thanks Felipe, as a noob this really helpful... something that i wanna know, how much picture that we need in yolov8n? how much picture of alpaca that u have? are we just submit 14 picture to the cvat or you must submit all picture?
Hi…your videos are really amazing and Informative…Thanks a lot. Actually I am trying to implement a weapon detection using this…and it will be binary classification - normal and weapon…So for annotation process ..Should I annotate the images without weapons as well as label ‘normal’
😃 Hey, thank you for your support! It depends on how you are going to approach this problem; if you want to build a binary image classifier, then you should annotate the images either as 'weapon' or 'normal'. If you would like to follow the same approach I do in the video, you would need to draw a bounding box around each object you want to detect for all the images in your dataset. 🙌
Thank you! for the detailed video.
You are welcome! 😃🙌