road-damage-assessment
CommunityAutomatically detect road surface damage from high-resolution optical imagery.
Product & Management#health assessment#texture analysis#road damage#optical imagery#damage detection
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides automatic detection of road surface damage such as potholes, cracks, and pavement defects from high-resolution optical imagery, offering a streamlined process for road maintenance and analysis.
Core Features & Use Cases
- Road Damage Detection: Identifies and locates road surface damage from optical imagery.
- Severity Rating: Categorizes the severity of damage into severe, moderate, or minor.
- Health Score: Computes a health score for the road segment indicating overall condition.
- Use Cases: This Skill can be used for regular road maintenance planning, post-disaster assessments, and quality checks for new road constructions.
Quick Start
Use the road-damage-assessment skill with the image file 'road_image.tif' to detect and evaluate road damage.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: road-damage-assessment Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#road-damage-assessment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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