Add model card metadata
#1
by dragicakostoska - opened
README.md
CHANGED
|
@@ -1,3 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# TwinCar: Deep Learning for Automotive Classification
|
| 2 |
|
| 3 |
TwinCar is a deep learning project focused on vehicle classification and automotive attribute prediction. It explores and compares multiple state-of-the-art convolutional neural networks (CNNs) and Vision Transformer architectures using transfer learning techniques on public automotive datasets.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-4.0
|
| 3 |
+
library_name: pytorch
|
| 4 |
+
pipeline_tag: image-classification
|
| 5 |
+
tags:
|
| 6 |
+
- image-classification
|
| 7 |
+
- pytorch
|
| 8 |
+
- convnext
|
| 9 |
+
- vehicles
|
| 10 |
+
- cars
|
| 11 |
+
- stanford-cars
|
| 12 |
+
- fine-grained-classification
|
| 13 |
+
datasets:
|
| 14 |
+
- naufalso/stanford_cars
|
| 15 |
+
metrics:
|
| 16 |
+
- accuracy
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
# TwinCar: Deep Learning for Automotive Classification
|
| 20 |
|
| 21 |
TwinCar is a deep learning project focused on vehicle classification and automotive attribute prediction. It explores and compares multiple state-of-the-art convolutional neural networks (CNNs) and Vision Transformer architectures using transfer learning techniques on public automotive datasets.
|