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Facts
| Fact | 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 | greyhatguy007/Machine-Learning-Specialization-Coursera Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG |
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| Stars | 2,362 | 8,171 |
| Net stars, last 30 days | +5 | +183 |
| Largest star day | +3 on Jul 18, 2026 | +15 on Oct 27, 2026 |
| Milestone reached in the record | None | None |
| Forks | 268 | 3,769 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | Other license | MIT |
| Created | Oct 19, 2020 | Jun 16, 2022 |
| Last push | Mar 6, 2026 | Dec 28, 2025 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 1 of 3 checks (1 without data) | 0 of 3 checks (2 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 11, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: deep-learning, machine-learning, python, tensorflow, neural-network. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined