RoboticsData/score_lerobot_episodes
A lightweight toolkit for quantitatively scoring LeRobot episodes.
This toolkit helps robotics engineers and researchers evaluate the quality of their robot demonstration videos, known as LeRobot episodes. It takes your raw robot interaction videos and, using computer vision and optional AI analysis, produces a quality score (from 0 to 1) for each episode. This score reflects visual clarity, motion smoothness, collision detection, and task success, allowing you to filter out poor-quality data before training your robot models.
Use this if you need to automatically assess and improve the quality of your robot demonstration datasets to enhance the performance of your robot learning models.
Not ideal if your datasets are not in the LeRobot episode format or if you primarily need real-time scoring during data capture rather than post-collection analysis.
Stars
49
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RoboticsData/score_lerobot_episodes"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Cloud-CV/EvalAI
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
fireindark707/Python-Schema-Matching
A python tool using XGboost and sentence-transformers to perform schema matching task on tables.
graphbookai/graphbook
Visual AI development framework for training and inference of ML models, scaling pipelines, and...
visual-layer/fastdup
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and...
github/CodeSearchNet
Datasets, tools, and benchmarks for representation learning of code.