google-research-datasets/Objectron
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
Star & Fork Trend (40 data points)
Multi-Source Signals
Growth Velocity
google-research-datasets/Objectron has +0 stars this period . 7-day velocity: -0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Objectron | chemprop | TengineKit | scattertext |
|---|---|---|---|---|
| Stars | 2.3k | 2.3k | 2.3k | 2.3k |
| Forks | 265 | 734 | 308 | 288 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | C++ | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | NOASSERTION | NOASSERTION | Apache-2.0 |
Capability Radar vs chemprop
Last code push 33 days ago.
Fork-to-star ratio: 11.4%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.