| makatx/YOLO_ResNet |
65 |
|
0 |
0 |
about 7 years ago |
0 |
|
6 |
|
Jupyter Notebook |
| Implementing YOLO using ResNet as the feature extraction network |
| kamwoh/Car-Model-Classification |
40 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Python |
| Car Model classification using Stanford Cars Dataset for Grab AI For Sea challenge on computer vision (https://www.aiforsea.com/computer-vision) |
| hfut721/RPN |
28 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Python |
| sigopt/stanford-car-classification |
24 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
Python |
| Classifying the Stanford Car dataset using ResNet 50 |
| motokimura/cowc_car_counting |
18 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Project to train/evaluate convolutional neural networks to count cars from COWC aerial images |
| codope/aiforsea-cv-cars |
7 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Fine-Grained Visual Classification on Stanford Cars Dataset |
