Update README.md

README.md

@@ -9,7 +9,7 @@ library_tag: open_clip
 license: mit
 widget:
   - src: >-
-      https://www.stemcellcareindia.com/wp-content/uploads/2016/07/adipose-900x675.jpg.webp
+      https://quilt1m.github.io/img/BREST092.jpg
     candidate_labels: adipose tissue, debris tissue, lymphocytes tissue, mucus tissue, smooth muscle tissue, normal colon mucosa tissue, cancer-associated stroma tissue, colorectal adenocarcinoma epithelium tissue
     example_title: Tissue phenotyping
   - src: >-
@@ -24,11 +24,25 @@ pipeline_tag: zero-shot-image-classification
 ---
 
 
-# Model card for QuiltNet-B-32
+## QuiltNet-B-16 Description
 
-## Model Description
+QuiltNet-B-16 is a CLIP ViT-B/16 vision-language foundation model trained on the [Quilt-1M](https://quilt1m.github.io/) dataset.
+It can perform various vision-language processing (VLP) tasks such as cross-modal retrieval, image classification, and visual question answering. 
+QuiltNet establishes new state of the art in a wide range of standard datasets, and substantially outperforms prior VLP approaches:
+
+![](barchart_zeroshot.png)
+
+
+# Citation
+```bibtex
+@inproceedings{ikezogwo2023quilt,
+  title={Quilt-1M: One Million Image-Text Pairs for Histopathology},
+  author={Wisdom O. Ikezogwo, Mehmet S. Seyfioglu, Fatemeh Ghezloo, Dylan Geva , Fatwir S. Mohammed, Pavan K. Anand, Ranjay Krishna, Linda G. Shapiro.},
+  year={2023},
+  journal={arXiv***},
+}
+```
 
-A CLIP ViT-B/16 model trained with the Quilt-1M dataset (https://quilt1m.github.io/) using OpenCLIP (https://github.com/mlfoundations/open_clip).
 
 # Uses
 
@@ -81,19 +95,3 @@ It is important to note that the results obtained from this function are not int
 In accordance with the privacy policy of Youtube, only Video IDs data is redistributed by us.
 It is strictly prohibited to redistribute any content apart from the Video IDs.
 Any distribution carried out must adhere to the laws and regulations applicable in your jurisdiction, including export control laws and embargoes.'
-
-
-
-# Citation
-
-**BibTeX:**
-
-Quilt-1M
-```bibtex
-@inproceedings{ikezogwo2023quilt,
-  title={Quilt-1M: One Million Image-Text Pairs for Histopathology},
-  author={Wisdom O. Ikezogwo, Mehmet S. Seyfioglu, Fatemeh Ghezloo, Dylan Geva , Fatwir S. Mohammed, Pavan K. Anand, Ranjay Krishna, Linda G. Shapiro.},
-  year={2023},
-  journal={arXiv***},
-}
-```