Objectron
Dataset of object-centric video clips for 3D reconstruction and computer vision tasks.
GraphCanon updated Sep 22, 2026 · GitHub synced Sep 22, 2026
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Decision brief
Objectron offers AR metadata and 3D bounding boxes for various object types in video clips, fitting needs of research and applications focused on 3D reconstruction and computer vision.
Good fit when
- You need AR session metadata including camera poses and sparse point-clouds.
- Your project involves 3D reconstruction using annotated videos and images.
Avoid when
- Project does not require 3D bounding boxes for object position, orientation data.
- No demand for AR metadata such as camera poses in your project.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (199d since push)
- As of Sep 22, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 22, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/google-research-datasets/ObjectronSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Objectron provides short video clips with AR metadata and 3D bounding boxes for objects like bikes, books, bottles, among others, supporting around 15K annotated videos and 4M images.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Sep 22, 2026
Categories
Tags
README
License Objectron is released under Computational Use of Data Agreement 1.0 (C UDA 1.0). A copy of the license is available in this repository.
For agents
This page has a .md twin and JSON over the API.