DeepLabelNet: Jupyter-like image annotation tool built with Django
Project description
DeepLabelNet
DeepLabelNet is a Jupyter-like image annotation tool built with Django. It provides an intuitive web-based interface to manually draw, label, and manage bounding boxes on images — ideal for computer vision datasets, especially for object detection tasks such as traffic sign detection.
✨ Features
- 📂 Upload and organize datasets
- 🖼️ Interactive image annotation with bounding boxes
- 🔍 Zoom, pan, and draw tools
- 💾 Export annotations in YOLO or COCO format
- 🧠 Integration-ready with training pipelines (PyTorch, Ultralytics YOLO, etc.)
- 🔐 User authentication and dashboard interface
- ⚡ Built with Django, OpenCV, Torch, and Ultralytics
📦 Installation
pip install deeplabelnet
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