# google-research-datasets/objectron

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## Links

- GitHub: https://github.com/google-research-datasets/Objectron
- awesome-repositories: https://awesome-repositories.com/repository/google-research-datasets-objectron.md

## Topics

`3d` `3d-reconstruction` `3d-vision` `ai` `augmented-reality` `computer-vision` `dataset` `deep-learning` `machine-learning` `neural-network` `python` `pytorch` `tensorflow`

## Description

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

## Tags

### Part of an Awesome List

- [Robotics Datasets](https://awesome-repositories.com/f/awesome-lists/data/robotics-datasets.md) — Collection of object-centric video clips with metadata.