Update README.md

README.md

@@ -1,3 +1,13 @@
+---
+license: apache-2.0
+language:
+- en
+metrics:
+- accuracy
+pipeline_tag: feature-extraction
+tags:
+- medical
+---
 ## LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching (Neurips 2023).
 We release [LVM-Med](https://arxiv.org/abs/2306.11925)'s pre-trained models and demonstrate downstream tasks on 2D-3D segmentations, linear/fully finetuning image classification, and object detection. 
 
@@ -5,11 +15,11 @@ LVM-Med was trained with ~ 1.3 million medical images collected from 55 datasets
 current contrastive and instance-based SSL.
 
 <p align="center">
-   <img src="assets/body_lvm_med.jpg" alt="drawing" width="698.5" heigh="461"/>
+   <img src="assets/body_lvm_med.jpg" alt="drawing" width="650"/>
 </p>
 
 <p align="center">
-   <img src="assets/lvm_med_teaser.gif" alt="drawing" width="471.6" heigh="520"/>
+   <img src="assets/lvm_med_teaser.gif" alt="drawing" width="800"/>
 </p>
 
 ## Table of contents
@@ -320,4 +330,4 @@ Licensed under the [CC BY-NC-ND 2.0](https://creativecommons.org/licenses/by-nc-
 
 [//]: # (python train_segmentation.py -c ./dataloader/yaml_data/buid_endtoend_SAM_VIT.yml -test)
 
-[//]: # (```)
+[//]: # (```)