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Feature/classification tutorial refactor #10039
Feature/classification tutorial refactor #10039
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…their own code snippet. Also added an active learning section at the end.
…rie/yolov5 into feature/classification-tutorial
…ious methods of input for `classify/predict.py`.
…rie/yolov5 into feature/classification-tutorial
@paulguerrie thanks! I'll take a look. Did you run inference at --img 224 for zidane.jpg? Confidence seem pretty low. |
I don't think so. I'm pretty sure the image I provided was the output of this command: |
Ohh ok got it. That makes sense then. The ImageNet-trained classification models are all at --imgsz 224, so running them at 640 will cause poor results. Detection and Segmentation are all at 640 though :) |
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
@paulguerrie hey I'm updating all notebooks now, just noticed there seems to be an image missing here. I think I'm going to merge this now, but if you can provide me the updated image URL I can fix this. This should probably be an image of Roboflow classification annotation, or just annotation in general. |
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
@paulguerrie PR is merged. Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐ |
Refactored the classification tutorial to match the main tutorial.
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Added a comprehensive tutorial notebook for YOLOv5 classification tasks.
📊 Key Changes
tutorial.ipynb
notebook added for classification.🎯 Purpose & Impact