# chenjoya/Vehicle\_Detection\_Recognition

<https://repo.masters-masters.com/en/repos/chenjoya/Vehicle_Detection_Recognition>

[Home](https://repo.masters-masters.com/en) › [chenjoya](https://repo.masters-masters.com/en/owners/chenjoya) › [Vehicle\_Detection\_Recognition](https://repo.masters-masters.com/en/repos/chenjoya/Vehicle_Detection_Recognition)

chenjoya/Vehicle\_Detection\_Recognition has 204 stars on GitHub. Its RepoMasters card: Prototype tier. This is a Matlab lesson design for vehicle detection and…

| Field | Value |
| --- | --- |
| Owner | [chenjoya](https://repo.masters-masters.com/en/owners/chenjoya) |
| Stars | 204 |
| Forks | 79 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | None |
| Created | 2016 |
| Topics | vehicle-detection, rcnn, matlab |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [chenjoya/Vehicle\_Detection\_Recognition](https://github.com/chenjoya/Vehicle_Detection_Recognition) |

## Repository

This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car\_dataset.html

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.