ClarusC64/clarus_handgrip_room_v1

Overview

Short video clips of hand grips in rooms. Each clip links grip, object, and container. Designed to expose drift when space is treated as optional.

Why this matters

• —grip changes when the room is known
• —persistence matters when objects go off-frame
• —mis-grips rise when boundaries are ignored
• —current models track objects, not rooms

Data

• —14 example clips in v0.1
• —mp4 videos, 2–8 seconds
• —csv annotation (id, path, class, grip, container, outcome, occlusion, persistence)

Use cases

• —robotics calibrations
• —warehouse automation
• —prosthetic training loops
• —spatial benchmarks for world models

Suggested evaluations

• —error rate before/after adding container features
• —persistence score across occlusion
• —boundary-aware grip outcome
• —drift cost in mis-placement cycles

File structure

data/ train/ annotations.csv README.md

Citation

Include link to this page if you publish results.

Contact

Pull request with improvements or new clips welcome.