|
---
|
|
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.
|
|
|
