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I am watching the whole YOLOv5 series to learn how to customize my object detection model and I'm finding it incredibly useful. Thank you so much for the high quality content you share with us. Greetings from México!
This is the second video of yours I have watched and you explain everything so beautifully. I am a complete beginner want to use a subset of Google's Open Images but can't figure out how to create YOLO format annotations.
THANKS for this video, can you tell me how you get around the "catastrophic forgetting" notice when adding new classes and training data to an existing model?
Hello Rihab. Mostly, everyone writes their custom script depending on the raw dataset structure. But Roboflow already provides datasets in YOLO format and many other formats as well in case you need it.
Do I really have to mark every picture with the object myself? That is a lot of non-automated work. Can I simply place pictures which include only the object and let the software do the labeling?
@LearnOpenCV From this video it looks like I have to mark the points for the polygons. I wonder if there is a way to let the machine automatically identify the objects (assuming that I place in separate folders) and create Yolov5 model.
You can create polygon annotations in CVAT. Check this video tutorial: th-cam.com/video/YL0l2MYUFC0/w-d-xo.html CVAT Tool complete tutorial playlist: th-cam.com/play/PLfYPZalDvZDLvFhjuflhrxk_lLplXUqqB.html
Satya, can you help me with one question? What is the best pratice when using zoom level in the step of mark the object, drawing the bounding boxes? For example I'm labeling a class that appears in front of the image and there's another class that is in the end (3d) of the image and for it I need to use the zoom. Sometimes I made this questions, until which level I can use the zoom because pixels will be explosed and than maybe It's not good to use a high level of zoom. Thanks.
i am not sure but you can do like if two object are above 70% similar with picture than write in log "Class_$"number_of_class" "+ " detected in picture"
📚 LINK TO BLOGPOST: learnopencv.com/custom-object-detection-training-using-yolov5/ ▶ LINK TO YOLO MASTERCLASS PLAYLIST: th-cam.com/play/PLfYPZalDvZDLALsG9o-cjwNelh-oW9Xc4.html
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Thank you so much, I just have a question, is that okay for txt file that has the information of annotation has the shape of a polygon not a rectangle?
Hi, thank you for the feedback. Your comments have been passed to the media team. We have much more videos on YOLO models. Check out the playlist section for the YOLO Master Class, or other playlists.
Get expert guidance, insider tips n tricks and Create stunning images, learn to fine tune diffusion models, advanced Image Editing techniques like In-Painting, Instruct Pix2Pix and many more.
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Hello Sir, I'm Wakil Kumar. Please tell me about ANPR --- Automatic Number plate detection and recognization step by step ... Please ...
using Yolov5 and Pytorch and ML models
I am watching the whole YOLOv5 series to learn how to customize my object detection model and I'm finding it incredibly useful. Thank you so much for the high quality content you share with us. Greetings from México!
Glad to hear that! Please subscribe to our channel to never miss out on the YOLO series!
Good and well narrated video. Explains the core concepts of YOLO labeling datasets, etc
Thank you Satya for clear information, your way to teach is the difference! Top!
Chapters
0:00-00:20: Introduction
00:20-2:38: How to prepare your data
2:38-6:12: How to create a Dataset
6:12-8:18: Directory Structure
8:18-9:02: Tools required
Very well made and clear video.
Thank you so much. I really like your videos.
This is the second video of yours I have watched and you explain everything so beautifully. I am a complete beginner want to use a subset of Google's Open Images but can't figure out how to create YOLO format annotations.
Hi, our tutorial notebooks usually cover the dataset annotation conversion. You can also find datasets in YOLO format.
THANKS for this video, can you tell me how you get around the "catastrophic forgetting" notice when adding new classes and training data to an existing model?
Hello sir, what exactly does 1 file per image mentioned @ 01:20 means
Amazing tutorial
is there any script can do the same work so we don't waste time on doining this manually ?
Hello Rihab. Mostly, everyone writes their custom script depending on the raw dataset structure. But Roboflow already provides datasets in YOLO format and many other formats as well in case you need it.
I have prepared data set in XML format can be used for yolov5 algorithm
No, you cannot use XML format to train YOLOv5 models. Use the .txt format.
good and clear explanation
Do I really have to mark every picture with the object myself? That is a lot of non-automated work. Can I simply place pictures which include only the object and let the software do the labeling?
You can employ CVAT's automatic annotation tools. Checkout the video here: th-cam.com/video/R-XXSn2ahOE/w-d-xo.html
@LearnOpenCV From this video it looks like I have to mark the points for the polygons. I wonder if there is a way to let the machine automatically identify the objects (assuming that I place in separate folders) and create Yolov5 model.
Yes. In the later parts of the video, we show annotating objects using ai models.
what about polygon annotation???
You can create polygon annotations in CVAT. Check this video tutorial: th-cam.com/video/YL0l2MYUFC0/w-d-xo.html
CVAT Tool complete tutorial playlist: th-cam.com/play/PLfYPZalDvZDLvFhjuflhrxk_lLplXUqqB.html
Satya, can you help me with one question? What is the best pratice when using zoom level in the step of mark the object, drawing the bounding boxes? For example I'm labeling a class that appears in front of the image and there's another class that is in the end (3d) of the image and for it I need to use the zoom. Sometimes I made this questions, until which level I can use the zoom because pixels will be explosed and than maybe It's not good to use a high level of zoom. Thanks.
I do not fully understand the question. Can you please share a link to an image so I can better understand it?
Hi! Thanks for the video. I trained custom object. But when two objects come too close it detecting as 1 object. How can I fix this?
i am not sure but you can do like if two object are above 70% similar with picture than write in log "Class_$"number_of_class" "+ " detected in picture"
📚 LINK TO BLOGPOST: learnopencv.com/custom-object-detection-training-using-yolov5/
▶ LINK TO YOLO MASTERCLASS PLAYLIST: th-cam.com/play/PLfYPZalDvZDLALsG9o-cjwNelh-oW9Xc4.html
Thanks for informations
OpenCV is offering 25% discount on all its official AI courses during Independence Sale from 4th to 11th July 2022. Buy your dream course at the best price to acquire the #1 skillset of the 21st century! Learn more: opencv.org/courses
Very nice and well done explanation.. Congrats.. Do you do Consulting or custom trains ? How can I contact you? Thanks
We do AI consulting. Please send an email to contact@bigvision.ai with details of the project and we will follow up.
Thanks
Thank you so much, I just have a question, is that okay for txt file that has the information of annotation has the shape of a polygon not a rectangle?
I don't think so. How would YOLO understand what your measurements mean?
Great content (much appreciated) but very annoying background music.
Hi, thank you for the feedback. Your comments have been passed to the media team. We have much more videos on YOLO models. Check out the playlist section for the YOLO Master Class, or other playlists.