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convnext_tiny.in12k_ft_in1k_384

Image Classification
timm
PyTorch
Safetensors
Transformers
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metadata
tags:
  - image-classification
  - timm
library_tag: timm
license: apache-2.0
datasets:
  - imagenet-1k
  - imagenet-12k

Model card for convnext_tiny.in12k_ft_in1k_384

A ConvNeXt image classification model. Pretrained in timm on ImageNet-12k (a 11821 class subset of full ImageNet-22k) and fine-tuned on ImageNet-1k by Ross Wightman.

ImageNet-12k training done on TPUs thanks to support of the TRC program.

Fine-tuning performed on 8x GPU Lambda Labs cloud instances.

Model Details

  • Model Type: Image classification / feature backbone
  • Model Stats:
    • Params (M): 28.6
    • GMACs: 13.1
    • Activations (M): 39.5
    • Image size: 384 x 384
  • Dataset: ImageNet-1k
  • Pretrain Dataset: ImageNet-12k
  • Papers:

Citation 

@misc{rw2019timm,
  author = {Ross Wightman},
  title = {PyTorch Image Models},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  doi = {10.5281/zenodo.4414861},
  howpublished = {\url{https://github.com/rwightman/pytorch-image-models}}
}

@article{liu2022convnet,
  author  = {Zhuang Liu and Hanzi Mao and Chao-Yuan Wu and Christoph Feichtenhofer and Trevor Darrell and Saining Xie},
  title   = {A ConvNet for the 2020s},
  journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year    = {2022},
}