deeplabelnet 0.1.17

DeepLabelNet: Advanced Jupyter-like image annotation tool for Computer Vision Tasks

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.

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📸 Screenshots

Dashboard — Overview

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Annotation Interface — Bounding Box Tool

Draw bounding boxes with click-and-drag, assign class labels from the sidebar, and see YOLO/COCO output previewed in real time.

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✨ 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

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📦 Installation

pip install deeplabelnet

🚀 Quick Start

deeplabelnet-init my_project
cd my_project
python manage.py runserver

Open http://127.0.0.1:8000 in your browser to start annotating.

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📄 License

GNU General Public License v3.0 — see LICENSE for details.