π¦ ClawHub
Precision Coral Metrics API
by @mingzhuangwang
Analyzes underwater images using YOLOv11 and MobileSAM to precisely segment coral colonies and calculate accurate coral coverage metrics.
TERMINAL
clawhub install coral-precise-coverage-aiπ About This Skill
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)
β‘ 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.π Key Capabilities
1. High-Fidelity Detection: Precisely locates coral colonies in complex, high-noise underwater backgrounds using YOLOv11. 2. Pixel-Perfect Segmentation: Leverages MobileSAM for refined mask extraction, ensuring accurate area calculation even for overlapping organisms. 3. Automated Metrics: Instantly calculates the Coral Coverage Ratio (%) and identifies individual colony counts.π Roadmap
π 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.π οΈ Integration Example
All requests must follow the OpenClaw standard authentication:POST https://api.openclaw.io/v1/skills/coral-ai/predict
Headers: X-OpenClaw-Token:
Body: multipart/form-data (key: 'file')
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