333 - An introduction to YOLO v8
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- Опубликовано: 17 окт 2023
- This video explains the basics of YOLO v8 and walks you through a few lines of code to help explore YOLO v8 for object detection and instance segmentation using pre-trained weights. More information about YOLO v8 can be found here.
docs.ultralytics.com/models/y...
Code generated in this video is available here: github.com/bnsreenu/python_fo... - Наука
One of the best teacher i have ever seen in my life ❤❤❤
Excited to learn about Yolo v8!! Looking forward to more videos and implementations!
I like YOLO v5/v8 team. They are very supportive in case you have a problems using their software. YOLO is great to do object detection.
one of the best teachers I have ever got 😊
Thanks a lot for this tutorial
We have waited a lot for it
thank you for the gorgeous explanation
your video is super helpful.thank you
Do you know if it’s possible to create a box around an entire object, even if it’s partially obfuscated, with yolo v8? Or do we need to use a completely different model?
Is the next video going to go over multi-class training for YOLOv8?
This is something I've been trying to find info about but haven't be able to find anything about it yet.
I am following your videos. Most of the codes you implemented in the Spyder environment. Can I perform this Yolo in Spyder?
The size of the mask image/array is differentn from the input image size in instance segmentation results object. How to deal with this? Any tips?
Sir, I want to extract tree crown segmentation using YOLO8 but
after prediction, my result is that the maximum tree contains 2/3 polygon, it should be a single polygon. I want to show the output but how can I show it?
Hello, I traind the yolov8 (detect) on custom dataset now how can I assess the yolov8 model with test dataset where I can get Recall , Precision, mAP, confusion matrix, curvs, and accurecy.
great video
i was training custom yolov8 segmentation model, but as yolov8 segmentation requires to have minimum of 3 pairs in annotation in its data i wasnt able to move ahead with it
as i just created rectangle bounding box using polygon tool it had only two pair. do you have any tips that how can i increase the pairs from 2 to 3 without annotating them as the dataset was quite large.
does yolov8 support mask images instead of the yolo format datatype? as i can create the binary masks for them using my current annotations and would really like to try yolov8 for segmentation
have you tried annotating on roboflow? you can import yolo annotations and edits accordingly as well. also I don't think yolo supports masks but i may be wrong i have never really looked deeply into it
i dont want to upload my datset, roboflow makes public dataset in the free trial@@astitva5002
Thankyou so much for your useful videos, could you please make a new video about Denoising Diffusion Implicit Models (DDIM) for augmentation?
Hi Sreeni !can you please make one of the video on Deformable Convolution neural network by implementing UNET?
Would you talk about implementing object detection using yolov8? especially the possible hints to get higher mAP on a custom dataset?
already did. Please check video 334.
@@DigitalSreeniI appreciate your response, sure I’ll check it.🙏🏻
the object detection tuto its also done?
Thanks!
thank you very much Brian. I hope you are finding my tutorials useful and educational.
Please record the course about dictionary learning🙏🙏
I CANNOT UNDERSTAND, can you explain that to us? Self-Supervised Learning Tasks and
SimCLR