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--- |
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license: apache-2.0 |
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base_model: |
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- SAM |
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- ViT-B |
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- PLAS |
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tags: |
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- image-segmentation |
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- foundation-model |
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- coral reef |
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- corals |
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- marine |
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datasets: |
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- CoralNet |
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--- |
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<p align="center"> |
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<picture> |
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<!-- <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/reefsupport/.github/main/profile/logo_text_horizontal_transparent_white.png"> --> |
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<img src="https://raw.githubusercontent.com/reefsupport/.github/main/profile/logo_text_horizontal_transparent.png" alt="Reef Support Logo" width="40%"> |
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</picture> |
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</p> |
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# 🌊 Reef Support |
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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. |
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--- |
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# CoralSCOP: Segment Any Coral Image on this Planet |
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[**GitHub**](https://github.com/zhengziqiang/CoralSCOP) | |
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[**Project page**](https://coralscop.hkustvgd.com/) | |
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[**Paper**](https://coralscop.hkustvgd.com/CoralSCOP_files/CoralSCOP__Segment_any_COral_Image_on_this_Planet.pdf) |
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**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. |
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## Model Weights |
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- **Checkpoint**: `vit_b_coralscop.pth` (ViT-B backbone) |
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## Main Features |
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- **Parallel semantic branch**: better ability to differentiate coral vs. non-coral, individual coral boundaries, coral species, etc. |
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- **Train with negatives**: reduce false positives in large-scale underwater imagery. |
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- **Promptable reef segmentation**: can accept point, box, or text prompts to refine or specify the target coral classes. |
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## Acknowledgement |
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Thank you to the whole [**CoralSCOP**](https://github.com/zhengziqiang/CoralSCOP) team for their amazing contribution to the Marine Science community 💙🌊 |
