- name
- coral-precise-coverage-ai
- display_name
- Precision Coral Metrics API (YOLO+SAM)
- owner
- @mingzhuangwang
- version
- 1.1.0
- tags
- ["MarineScience", "AIVision", "OpenClaw", "GPUPowered", "Ecology"]
- pricing
- paid
- monetization
- strategy
- pay-per-invocation
- sub_agent_commission
- 0.20
Precision Coral Metrics AI (CM-AI)
⚡ Overview
CM-AI is an industrial-grade vision skill leveraging the YOLOv11 + MobileSAM hybrid architecture. Designed for marine ecologists and environmental agencies, it replaces error-prone manual reef assessments with rapid, pixel-perfect coral coverage analysis.
🚀 Key Capabilities
- High-Fidelity Detection: Precisely locates coral colonies in complex, high-noise underwater backgrounds using YOLOv11.
- Pixel-Perfect Segmentation: Leverages MobileSAM for refined mask extraction, ensuring accurate area calculation even for overlapping organisms.
- Automated Metrics: Instantly calculates the Coral Coverage Ratio (%) and identifies individual colony counts.
📈 Roadmap
- v1.2.0: Genus-level identification (e.g., Acropora, Brain Coral, Montipora).
- v1.3.0: Fully automated transect data extraction and biodiversity index analysis.
🔒 Security & Access (OpenClaw Protected)
[!CAUTION] This skill is strictly integrated with the OpenClaw API Gateway. To protect backend GPU resource integrity, direct non-gateway traffic will be automatically blocked. Developer royalties are settled via the OpenClaw monetisation protocol.
🛠️ Integration Example
All requests must follow the OpenClaw standard authentication:
POST https://api.openclaw.io/v1/skills/coral-ai/predict
Headers: X-OpenClaw-Token: <YOUR_TOKEN>
Body: multipart/form-data (key: 'file')© 2026 @mingzhuangwang | Powered by OpenClaw Ecosystem