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
Why this job: matched by what the repo talks about: video, short, clip, image

What it does
- 15000 annotated videos and 4M annotated images
- All samples include high-res images, object pose, camera pose, point-cloud, and surface planes.
- Ready to use examples in various tf.record formats, which can be used in Tensorflow/PyTorch.
- Object-centric multi-views, observing the same object from different angles.
- Accurate evaluation metrics, like 3D IoU for oriented 3D bounding boxes.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 2,362
- +2 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.0
- Released 5 years ago
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 56% closed
- 31 still open
- Pull requests
- 12 merged
- 0 waiting
- Releases
- 2
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Jupyter Notebook 100%
- Python <1%
Topics
- deep-learning
- computer-vision
- machine-learning
- python
- tensorflow
- pytorch
- 3d-vision
- 3d-reconstruction
- ai
- 3d
- neural-network
- dataset
Project record
- JobVideo
- StatusListed
- Commits19
- Forks268
- Watching60
- Stars in 28 days+5
- CreatedOct 19, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
