TUI-NICR/nicr-scene-analysis-datasets

Code to prepare and use common datasets for scene analysis tasks

41
/ 100
Emerging

This tool helps researchers and engineers working with computer vision tasks to easily set up and use popular scene analysis datasets. It takes raw image and depth data from datasets like ADE20k, COCO, Cityscapes, and Hypersim, and processes them into a standardized format with various annotations like semantic, instance, and 3D box information. This is ideal for those developing and evaluating algorithms for robotics, autonomous systems, or other scene understanding applications.

Use this if you are a computer vision researcher or robotics engineer who needs ready-to-use, well-annotated datasets for training and testing scene analysis models.

Not ideal if you are looking for new datasets that are not listed, or if you only need a simple image dataset without complex annotations for basic image classification.

Computer Vision Robotics Autonomous Systems Scene Understanding Dataset Preparation
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 13 / 25

How are scores calculated?

Stars

17

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Oct 15, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/TUI-NICR/nicr-scene-analysis-datasets"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.