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README.md
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# Dataset Card for "monetjoe/cv_backbones"
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This repository consolidates the collection of backbone networks for pre-trained computer vision models available on the PyTorch official website. It mainly includes various Convolutional Neural Networks (CNNs) and Vision Transformer models pre-trained on the ImageNet1K dataset. The entire collection is divided into two subsets, V1 and V2, encompassing multiple classic and advanced versions of visual models. These pre-trained backbone networks provide users with a robust foundation for transfer learning in tasks such as image recognition, object detection, and image segmentation. Simultaneously, it offers a convenient choice for researchers and practitioners to flexibly apply these pre-trained models in different scenarios.
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##
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| ver | type | input_size | url |
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| :-----------: | :-----------: | :--------------: | :-------------------------------: |
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| backbone name | backbone type | input image size | url of pretrained model .pth file |
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# Dataset Card for "monetjoe/cv_backbones"
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This repository consolidates the collection of backbone networks for pre-trained computer vision models available on the PyTorch official website. It mainly includes various Convolutional Neural Networks (CNNs) and Vision Transformer models pre-trained on the ImageNet1K dataset. The entire collection is divided into two subsets, V1 and V2, encompassing multiple classic and advanced versions of visual models. These pre-trained backbone networks provide users with a robust foundation for transfer learning in tasks such as image recognition, object detection, and image segmentation. Simultaneously, it offers a convenient choice for researchers and practitioners to flexibly apply these pre-trained models in different scenarios.
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## Data structure
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| ver | type | input_size | url |
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| :-----------: | :-----------: | :--------------: | :-------------------------------: |
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| backbone name | backbone type | input image size | url of pretrained model .pth file |
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