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Add feature which converting json format bbox annotated file to the standard txt format on the ROOT folder #13600
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🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Adds support for converting custom JSON-annotated datasets to YOLOv5-compatible TXT format, making it easier to use new datasets for training and validation. 📝🔄
📊 Key Changes
custom-dataset.yaml
for defining a custom dataset with 16 classes (e.g., person, helmet, car, bus).json2txt.py
, a script to convert JSON annotation files into YOLOv5 TXT label format.🎯 Purpose & Impact
🚀 This update is especially helpful for anyone looking to use YOLOv5 with their own labeled images!