Star200+

Objectron

STRONG · 77
Community indexed

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Downloads0
Stars2.3K
Version1.0.0
Quality90/100 · Excellent
Trust77/100 · Review then install
Audit85/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add google-research-datasets/Objectron

Maintenance

active

5mo since push

Risk

Safe to try

License is unclear

GitHub quality

2.3K

90/100 Quality · 85/100 Trust

Coverage tags

ResearchRAG and knowledgerobotics-iotcomputer-visionautomation

Review notes

License is unclear · License clarity: Unknown

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
90

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
77

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
85

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

Jupyter NotebookComputer VisionCodexClaude CodeCursor

Stars

2.3K GitHub stars

Repo activity

2.3K stars, 266 forks

Maintenance

5mo since push

License

Unknown

Install

npx skills add google-research-datasets/Objectron

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • License clarity: Unknown

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Multimodal media workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Read media metadata

Suited agents

Jupyter NotebookComputer VisionCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add google-research-datasets/Objectron
Policy
review
Human review
yes

Trust and risk

Trust
77/100
Audit
85/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add google-research-datasets/Objectron
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • License is unclear
  • License clarity: Unknown

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Agent safety v2

69/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • License is unclear

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add google-research-datasets/Objectron

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20Objectron%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Objectron%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/google-research-datasets-objectron/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Objectron in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Objectron%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/google-research-datasets-objectron/install
Install command: npx skills add google-research-datasets/Objectron
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/google-research-datasets-objectron/install

LLM text format

/api/skills/google-research-datasets-objectron/install?format=text

Find alternatives

/api/skills/search?q=Objectron&limit=3

Agent prompt

Use Objectron for this task. Review https://www.openagentskill.com/api/skills/google-research-datasets-objectron/install, then install with: npx skills add google-research-datasets/Objectron

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/google-research-datasets-objectron

LLM text

/api/registry/manifest/google-research-datasets-objectron?format=text

Install alias

/api/registry/install/google-research-datasets-objectron

Recommend

/api/registry/recommend?task=Use%20Objectron%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Multimodal media

Use-case tags

Multimodal mediaRAG and knowledgeCoding agents

Platforms

Jupyter Notebook, Computer Vision, Claude Code

Audit report

Safe to try · 85/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Multimodal media

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Multimodal media

Trust label

Production-ready

Install path

Command ready

Use when

  • Multimodal media workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 2,336 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 90/100 quality profile
  • 12 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Multimodal media task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

77
OpenAgentSkill Trust Score

GitHub adoption

PASS

2.3K GitHub stars

Stars/forks activity

PASS

2.3K stars, 266 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

5mo since push

License clarity

CHECK

Unknown

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • License is unclear
  • License clarity: Unknown
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

90
GitHub stars
2.3K
Freshness
5mo ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Process rich media

Multimodal media

I need my agent to process images, video, or audio and extract useful information.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Workflow fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

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Overview

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform compatibility

jupyter-notebookFULL
computer-visionFULL

Technical details

Version
1.0.0
License
Unknown
Last updated
Jun 16, 2026
Published
Jun 16, 2026

Frameworks & tools

Jupyter NotebookComputer Vision

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

2,336 GitHub stars

Audit

Install review

Install and adoption review

85
Safe to try
Security
82/100
Maintenance
76/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Objectron, ready for a manual X post.

Curator note
A practical pick for design or creative work:

Objectron: Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata inclu...

2.3K stars

https://www.openagentskill.com/skills/google-research-datasets-objectron?ref=x
Open X draft
Optional reply with install command
Listing + install path for Objectron:
https://www.openagentskill.com/skills/google-research-datasets-objectron?ref=x

Install: npx skills add google-research-datasets/Objectron
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to google-research-datasets but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/google-research-datasets-objectron?metric=listed&label=Listed)](https://www.openagentskill.com/skills/google-research-datasets-objectron)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/google-research-datasets-objectron?metric=trust&label=Trust)](https://www.openagentskill.com/skills/google-research-datasets-objectron)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/google-research-datasets-objectron?metric=audit&label=Audit)](https://www.openagentskill.com/skills/google-research-datasets-objectron/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/google-research-datasets-objectron?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/google-research-datasets-objectron)
Preview badge Open audit Creator kit

Author

G

google-research-datasets✓

@google-research-datasets

Tags

computer-visionautomationrobotics-iot3d3d-reconstruction3d-visionaiaugmented-realitydatasetdeep-learning

Platform fit

Claude Code

Health signals

GitHub stars
2.3K
Quality score
58/100
Last GitHub push
Mar 6, 2026
Framework hints
2
OpenAgentSkill views
6
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

77
  • GitHub adoption2.3K GitHub starsPASS
  • Stars/forks activity2.3K stars, 266 forks; issue activity unavailable in current metadataPASS
  • Recent maintenance5mo since pushINFO
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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