Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/raja21068-cv-detection
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/cv-detection
What's inside
- Skill name
cv-detection- Description
- Best practices for object detection tasks. Use when working on COCO, VOC, or detection architectures like YOLO and DETR.
- License
- MIT
- Metadata
- author: researchclaw · version: 1.0 · category: domain · priority: 5 · references: Ren et al., Faster R-CNN, NeurIPS 2015; Carion et al., End-to-End Object Detection with Transformers, ECCV 2020 · trigger-keywords: detection,object,bbox,yolo,coco,anchor,faster rcnn · applicable-stages: 9,10
- Instructions
- 18 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## Object Detection Best Practice Architecture families: - One-stage: YOLO (v5/v8), SSD, RetinaNet, FCOS - Two-stage: Faster R-CNN, Cascade R-CNN - Transformer: DETR, DINO, RT-DETR Training recipe: - Use pre-trained backbone (ImageNet) - Multi-scale training and testing - IoU threshold: 0.5 for mAP50, 0.5:0.95 for mAP - Use FPN for multi-scale feature extraction - Focal loss for class imbalance in one-stage detectors Standard benchmarks: - COCO val2017: ~37 mAP (Faster R-CNN R50), ~51 mAP (DINO Swin-L) - Pascal VOC: ~80 mAP50 (Faster R-CNN)
From raja21068/AutoScholar, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 12, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0
- License
- MIT
- Repository
- github.com/raja21068/AutoScholar
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Cite this page
cv-detection skill. Agent Mart. https://agentmart.dev/skills/raja21068-cv-detection (last updated 2026-10-24)