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DeepLabelNet: Advanced Jupyter-like image annotation tool built with Django for Pattern Recognition and Computer Vision research

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.

DeepLabelNet Interface


✨ 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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