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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

Picture from the google-research-datasets/Objectron README

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
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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
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

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