πŸ› οΈ
Score Lerobot Episodes tool by RoboticsData
⭐ 44.1
πŸ› οΈ
Tool

Score Lerobot Episodes

by RoboticsData roboticsdata/score_lerobot_episodes
Free2AITools Nexus Index
44.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 52
P: Popularity 52
R: Recency 68
Q: Quality 70
Tech Context
Vital Performance —
Source β†’
Python Lang
Open Source 53 Stars
Alpha Reliability
Tool Information Summary
Entity Passport
Registry ID roboticsdata/score_lerobot_episodes
License Apache-2.0
Provider github
πŸ“œ

Cite this tool

Academic & Research Attribution

BibTeX 
@misc{gh_tool_roboticsdata_score_lerobot_episodes,
  author = {RoboticsData},
  title = {Score Lerobot Episodes Tool},
  year = {2025},
  howpublished = {\url{https://github.com/RoboticsData/score_lerobot_episodes}},
  note = {Accessed via Free2AITools.}
}
APA Style
RoboticsData. (2025). Score Lerobot Episodes [Tool]. Free2AITools. https://github.com/RoboticsData/score_lerobot_episodes

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ GitHub Clone
git clone https://github.com/RoboticsData/score_lerobot_episodes
🐍 PIP Install
pip install score_lerobot_episodes

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 52
Popularity (P) 52
Recency (R) 68
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for Score Lerobot Episodes: Authority (A:52), Popularity (P:52), Recency (R:68), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“‹ Specs

Language
Python
License
Apache-2.0
Version
β€”
Explore Source Node

Technical Documentation

LeRobotEpisodeScoringToolkit

A lightweight toolkit for quantitatively scoring LeRobot episodes.

License: Apache 2.0 Python 3.8+ GitHub stars

[!NOTE] The features in this repository are now integrated into Robotdata Studio.

  • Instant ~20% quality boost with our data capture platform
  • Seamless integration with your existing LeRobot datasets
  • Powerful diversity scoring and data sanitization techniques

studio.robotdata.com

**LeRobot Episode Scoring Toolkit**

A comprehensive toolkit for evaluating and filtering LeRobot episode datasets based on multiple quality dimensions. It combines classic Computer Vision heuristics (blur/exposure tests, kinematic smoothness, collision spikes) with optional Gemini-powered vision-language checks to give each episode a 0–1 score across multiple quality dimensions.

Use this toolkit to:

  • Automatically score robot demonstration episodes on visual clarity, motion smoothness, collision detection, and more
  • Filter low-quality episodes to improve downstream training performance
  • Train and compare baseline vs. filtered dataset models
  • Visualize score distributions and identify problematic episodes

Table of Contents

Social Proof

GitHub Repository
53Stars
7Forks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-tool--roboticsdata--score_lerobot_episodes
slug
roboticsdata--score_lerobot_episodes
source
github
author
RoboticsData
license
Apache-2.0
tags
computer-vision, gemini, lerobot, opencv, robotics, awesome, huggingface, machine-learning, robot, robots, ai, deeplearning, machinelearning, simulation, python

βš™οΈ Technical Specs

pipeline tag
other

πŸ“Š Engagement & Metrics

downloads
0
stars
53
forks
7
github stars
53

Data indexed from public sources. Updated daily.