readme: ---
  tags:
  - image-classification
  - resnet
  license: afl-3.0
  datasets:
  - imagenet
  widget:
  - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
    example_title: Tiger
  - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
    example_title: Teapot
  - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
    example_title: Palace
  ---
  
  # ResNet-50
  
  Pretrained model on [ImageNet](http://www.image-net.org/). The ResNet architecture was introduced in
  [this paper](https://arxiv.org/abs/1512.03385).
  
  ## Intended uses
  
  You can use the raw model to classify images along the 1,000 ImageNet labels, but you can also change its head
  to fine-tune it on a downstream task (another classification task with different labels, image segmentation or
  object detection, to name a few).
  
  ## Evaluation results
  
  This model has a top1-accuracy of 76.13% and a top-5 accuracy of 92.86% in the evaluation set of ImageNet.
  