Thank you so much for this video. 12 hours ago I didn't know where to start with making a YOLO model. I have just made my first model using your tutorial that labels vehicles and pedestrians from dashcam data. You have helped me a lot!
Where did u get the colab Notebook from? I tried using the tutorial file from github and the Notbook from roboflow but they all were different. And great video ;) Its the first time i came in contact with computer vision and i really look forward to it
Good work. If you would like to evaluate the performance of the model developed using metrics such as mean average precision (mAP) and loss function, how do you go about that?
So after I have followed this entire video once, if I wasn't happy with my confidence interval, should I go back to roboflow and label more images, then train the model again with the new data?
Good day! We have some issues with object detection on custom datasets and would be appreciated any advice. Is it possible to have a 1-hours consultation?
Thanks a lot man! Yeah there should be some videos about it, or else I have my courses on my website where we go from start to end with everything in object detection and also tracking with yolov7 and yolov8
Those courses are the exact same content just with a newer model. Actually yolov5 is from the same creators as yolov8 so using the exact same framework. You can swap out yolov8 with yolov5 in a single line @@emmy_jon
Hey Buddy, thanks for the tutorial. I have one question ... After running detect.py for new images..it was able detect labels and show it as mug_0.7 ...But can you please tel how to store that mug_0.7 into an output file
thankyou sir that was useful. i trained using my own dataset but no matter how long i trained it the m@p will not get improved from 0.34 something like that i have used same data for yolov4 but it performs well
hello, Can we add the object trained with the custom dataset to the other 80 object YOLO weights? As a single weight of 80+1. Can we increase the weight of the existing 80 objects? thanks. normally yolo weight consists of 80 objects. Can we add new objects to objects of this weight by training with custom datasets?
Hello sir Good work , i have a question the labels of yolov5 is it the same in yolo v4 and yolov3 italk about annotation ( the file.txt) i hope to answer me Thanks.
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can i get every command for google colab please ...any txt or just add in description here or reply in comment
Cleanest follow through video I've seen on RUclips. Really excited for the second part!!!!
Thank you so much! Really appreciate it
@@NicolaiAI can you please share the link to the colab notebook? I couldn't find it here in the description, and not on your github either.
Thank you so much for this video. 12 hours ago I didn't know where to start with making a YOLO model. I have just made my first model using your tutorial that labels vehicles and pedestrians from dashcam data. You have helped me a lot!
Thanks a lot for watching! Glad that i could help u
Thanks for posting all these amazing overviews, Nicolai!
Thanks a lot! Really appreciate it
where is the codes you use in the video,I couldnt find it in the github :/
Thank you very much for this video. It was very helpful for my project. Im extremely grateful to you😊
You are welcome 😊
Where did u get the colab Notebook from? I tried using the tutorial file from github and the Notbook from roboflow but they all were different. And great video ;) Its the first time i came in contact with computer vision and i really look forward to it
Thank You for this video. very nice explanation !!
Thanks for watching! If u are interested i have a yolov7 course aswell
Yes i just saw that yolov7 course is there..
Love form India❤
@@shyampatel7038 Cool! Love from Denmark ❤❤
The walkthrough is very clear but I think your sound is a bit mumble. Looking forward to the next content.
Thanks a lot for watching! The audio has been improved a lot in the latest videos
Where can i have the full script? Thankyou!!
Good work. If you would like to evaluate the performance of the model developed using metrics such as mean average precision (mAP) and loss function, how do you go about that?
Amazing video mate
Thanks a lot for watching! Really appreciate it
So after I have followed this entire video once, if I wasn't happy with my confidence interval, should I go back to roboflow and label more images, then train the model again with the new data?
Yeah that could be one way to do it. U can also analyse ur dataset to make sure its suitable. Trash in is trash out
Good day!
We have some issues with object detection on custom datasets and would be appreciated any advice. Is it possible to have a 1-hours consultation?
Yeah u Can reach out to me at thecodinglibraryyt@gmail.com
Hi, really nice tutorial! I would like to ask, if there is any way, to actually use this trained model with opencv?
this is a good video. Is there a second video where we can deploy the .pt to openCV for realtime object detection
Thanks a lot man! Yeah there should be some videos about it, or else I have my courses on my website where we go from start to end with everything in object detection and also tracking with yolov7 and yolov8
@@NicolaiAI how do I get your courses?
They are here in the pinned comments and video description!
@@NicolaiAI Thank you🙏 can I get the yolov5 course, what I can see there is yolov7 & 8
Those courses are the exact same content just with a newer model. Actually yolov5 is from the same creators as yolov8 so using the exact same framework. You can swap out yolov8 with yolov5 in a single line
@@emmy_jon
Hey Buddy, thanks for the tutorial. I have one question ... After running detect.py for new images..it was able detect labels and show it as mug_0.7 ...But can you please tel how to store that mug_0.7 into an output file
Hi, thanks for watching! U can just take the bounding boxes which is the output from the model and store it in a CSV file as an example
thankyou sir that was useful. i trained using my own dataset but no matter how long i trained it the m@p will not get improved from 0.34 something like that i have used same data for yolov4 but it performs well
hello,
Can we add the object trained with the custom dataset to the other 80 object YOLO weights? As a single weight of 80+1. Can we increase the weight of the existing 80 objects?
thanks.
normally yolo weight consists of 80 objects.
Can we add new objects to objects of this weight by training with custom datasets?
Nope you can’t do that for the pretrained weights
@@NicolaiAI thank you
thank for this video...can you tell me how to get the location of bounding box pleas
Thank you so much brother. Your video really helped. Btw when is the 2nd part coming deploying the saved model in our own python code
where is the codes/colab notebook you use in the video?
Hello sir
Good work , i have a question the labels of yolov5 is it the same in yolo v4 and yolov3 italk about annotation ( the file.txt)
i hope to answer me
Thanks.
Greate work. I have one question. Is it possible to use your trained model in this video in a C++ program to perform object detection?
Thanks a Lot! Yeah u can use it in c++ too. I'll make a video in the future about that
I believe yolov5 does augmentation internally while training.
Hi, thanks for the tutorial. Can you please explain how to detect colour along with custom objects using yolo?
where is the code and dataset for this?
great video. can you provide code link as well?
Hi, Can you descripting for me how to labeling objects by drone image for deep learning.
how can we test it like we upload a picture and how it detects it?
We are going to create a video about how to deploy these models
Ei cara, tudo bem? Onde eu altero os hyperparâmetros?
where can i get this colab notebook?
the one from the github is edited now
Can I know the specs of your computer? I encountered out of memory and I'm planning to upgrade my hardware
I7, GTX 1060 and 16 gb ram
Good tutorial. Can your model detect mugs of different colors?
We should try that! Most likely not or with low confidence score since we have only trained the model on the same mug
@@NicolaiAI That is why I asked. It would be an interesting experiment. I think it would speak volumes for YOLOV5 if it was still able to generalize.
I'll definitely try that! Thanks for the comment
@@NicolaiAI you're welcome.
good explanation see what I saw in the video I can train a model with roboflow and then use with ML5 and p5.js with cocossd or yolo
Do I really have to use roboflow huhu?
Roboflow is prompting me to pay to export my dataset?
Did u choose the public option?
@@NicolaiAI yeah realised that was my mistake, thanks
@@joshuahearne3964 great
where can i access this code from ?
perfect
thanks a lot for watching! Really appreciate it
@@NicolaiAI that's my pleasure
hi dude please i wanna use stero camera for detection object and thier location please help
Hi Khalil did you finish this task ? I have the same task that I need to do, can i ask you some questions please?
@@abderrahmenmelliti9627 yes i did
@@khalilhm3462 do you have your project on github
code for potholes pls
👍
please if you can see my message in the emails just let me know thanks (im member in the Channel )
Hi i have just seen the mail, I'll get to it :)
where is the codes you use in the video,I couldnt find it in the github :/