Update README.md

README.md

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----
-license: mit
----
+---
+license: apache-2.0
+base_model:
+ - SAM
+ - ViT-B
+ - PLAS
+tags:
+- image-segmentation
+- foundation-model
+- coral reef
+- corals
+- marine
+datasets:
+- CoralNet
+inference: false
+---
+
+<p align="center">
+  <picture>
+    <!-- <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/reefsupport/.github/main/profile/logo_text_horizontal_transparent_white.png"> -->
+    <img src="https://raw.githubusercontent.com/reefsupport/.github/main/profile/logo_text_horizontal_transparent.png" alt="Reef Support Logo" width="40%">
+  </picture>
+</p>
+
+# 🌊 Reef Support
+
+We at **Reef Support** are dedicated to providing cutting-edge tools and technologies to support marine conservation efforts around the globe. Our mission is to protect and restore marine ecosystems using innovative AI-driven solutions. One key aspect is **coral segmentation**, which we integrate into our [**MariMap**](https://marimap.reef.support) application to empower marine biologists and conservationists with accurate and efficient coral reef analysis.
+
+---
+
+# CoralSCOP: Segment Any Coral Image on this Planet
+
+[**GitHub**](https://github.com/zhengziqiang/CoralSCOP) | 
+[**Project page**](https://coralscop.hkustvgd.com/) |
+[**Paper**](https://coralscop.hkustvgd.com/CoralSCOP_files/CoralSCOP__Segment_any_COral_Image_on_this_Planet.pdf)
+
+**CoralSCOP** is the first **foundation model** for coral reef segmentation. It builds upon [Segment Anything Model (SAM)](https://github.com/facebookresearch/segment-anything) but addresses the **semantic-agnostic** limitations and includes additional training data & strategies for underwater coral scenes. This powerful model will be made available through **Reef Support’s MariMap application**, enhancing our ability to analyze coral reefs worldwide.
+
+## Model Weights
+- **Checkpoint**: `vit_b_coralscop.pth` (ViT-B backbone)
+
+## Main Features
+- **Parallel semantic branch**: better ability to differentiate coral vs. non-coral, individual coral boundaries, coral species, etc.
+- **Train with negatives**: reduce false positives in large-scale underwater imagery.
+- **Promptable reef segmentation**: can accept point, box, or text prompts to refine or specify the target coral classes.
+
+## Acknowledgement
+Thank you to the whole [**CoralSCOP**](https://github.com/zhengziqiang/CoralSCOP) team for their amazing contribution to the Marine Science community 💙🌊