Update README.md

README.md

@@ -1,3 +1,30 @@
 ---
+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.