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--- |
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license: cc-by-4.0 |
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datasets: |
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- Mitsua/color-multi-fractal-db-1k |
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tags: |
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- vision |
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- image-classification |
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library_name: transformers |
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--- |
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# Model Card for Swin Base Multi Fractal 1k |
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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. |
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This model is trained exclusively on 1 million fractal images which relies solely on mathematical formulas, so no real images or pretrained models are used for this training. |
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## Model Details |
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### Model Description |
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The Swin Transformer is a type of Vision Transformer and can be utilized for various downstream tasks. |
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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). |
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- **Developed by:** [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine |
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- **Model type:** Image Classification |
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- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
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## Training Details |
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### Training Data |
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- [Color Multi Fractal DB 1k](https://huggingface.co/datasets/Mitsua/color-multi-fractal-db-1k) / CC BY 4.0 |
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- **Curated by:** [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine |
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- Paper: [Improving Fractal Pre-training](https://catalys1.github.io/fractal-pretraining/) by Connor Anderson and Ryan Farrell |
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- Code : [Multi-Fractal-Dataset](https://github.com/FYGitHub1009/Multi-Fractal-Dataset) by FYSignate1009 |
