# experiencor/image-to-3d-bbox

<https://repo.masters-masters.com/en/repos/experiencor/image-to-3d-bbox>

[Home](https://repo.masters-masters.com/en) › [experiencor](https://repo.masters-masters.com/en/owners/experiencor) › [image-to-3d-bbox](https://repo.masters-masters.com/en/repos/experiencor/image-to-3d-bbox)

experiencor/image-to-3d-bbox has 244 stars on GitHub. Its RepoMasters card: Prototype tier. Build a CNN network to predict 3D bounding box of car from 2D image.

| Field | Value |
| --- | --- |
| Owner | [experiencor](https://repo.masters-masters.com/en/owners/experiencor) |
| Stars | 244 |
| Forks | 54 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2017 |
| Topics | self-driving-car, cnn-keras, convolutional-neural-networks, deep-learning, bounding-boxes, regression, kitti-dataset |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [experiencor/image-to-3d-bbox](https://github.com/experiencor/image-to-3d-bbox) |

## Repository

Build a CNN network to predict 3D bounding box of car from 2D image.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
