Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,29 @@
|
|
1 |
-
---
|
2 |
-
license: cc-by-4.0
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: cc-by-4.0
|
3 |
+
datasets:
|
4 |
+
- Mitsua/color-multi-fractal-db-1k-private
|
5 |
+
tags:
|
6 |
+
- vision
|
7 |
+
- image-classification
|
8 |
+
---
|
9 |
+
# Model Card for Swin Base Multi Fractal 1k
|
10 |
+
|
11 |
+
Swin Transformer model pre-trained on Color Multi Fractal DB 1k (1 million images, 1k classes) at resolution 224x224 for 300 epochs, developed by [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine.
|
12 |
+
|
13 |
+
## Model Details
|
14 |
+
|
15 |
+
### Model Description
|
16 |
+
|
17 |
+
The Swin Transformer is a type of Vision Transformer and can be utilized for various downstream tasks.
|
18 |
+
It was introduced in the paper [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://arxiv.org/abs/2103.14030) by Liu et al. and first released in [this repository](https://github.com/microsoft/Swin-Transformer).
|
19 |
+
|
20 |
+
- **Developed by:** [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine
|
21 |
+
- **Model type:** Image Classification
|
22 |
+
- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
|
23 |
+
|
24 |
+
## Training Details
|
25 |
+
|
26 |
+
### Training Data
|
27 |
+
|
28 |
+
- Color Multi Fractal DB 1k / CC BY 4.0
|
29 |
+
- This is 1 million fractal images dataset generated using a single python script, which relies solely on mathematical formulas, so no real images or pretrained models are used for this training.
|