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.

📸 Screenshots

Dashboard — Overview

DeepLabelNet Dashboard

Annotation Interface — Bounding Box Tool

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

✨ 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

🚀 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.

📄 License

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

Metadata

Release files for deeplabelnet 0.1.20

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for deeplabelnet 0.1.20
File	Size	Uploaded
deeplabelnet-0.1.20.tar.gz	13.6 kB	Jun 1, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for deeplabelnet 0.1.20
File	Interpreter	ABI	Platform	Reset
deeplabelnet-0.1.20-py3-none-any.whl 12.8 kB Jun 1, 2026	Python 3	none	any	Details

Total release size: 26.3 kB

Release files / deeplabelnet-0.1.20.tar.gz

Download URL	deeplabelnet-0.1.20.tar.gz
Size	13.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`661ce9df474411ecd1991c66209c7d8fe483a726a10809115bec5746572702f8`
BLAKE2b-256 checksum How to use checksums	`d4de0102bba5c7789ea9c43c420f4cc5189e2897231c3eeeebbe2fe5c99e2277`
Upload date	Jun 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.10.0`

Release files / deeplabelnet-0.1.20-py3-none-any.whl

Download URL	deeplabelnet-0.1.20-py3-none-any.whl
Size	12.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ffd4a6842a48e712626af12d02c43045784ce673f26ee53ea4355ceb0dba7458`
BLAKE2b-256 checksum How to use checksums	`2ca20abacec5e6e67a2ddf404ab2a4714a17710f03373b60526aff87037cd6f1`
Upload date	Jun 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.10.0`