dataset-annotation
OfficialAI-assisted dataset annotation
AuthorSharpAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the creation of custom datasets for training AI models by providing AI-assisted annotation tools and exporting in standard formats.
Core Features & Use Cases
- AI-assisted annotation: Leverage methods like BBox, SAM2, and DINOv3 for efficient object and segmentation annotation.
- Multiple export formats: Export annotations in COCO, YOLO, or VOC formats for compatibility with various training frameworks.
- Use Case: Train a custom object detection model for a specific type of industrial equipment by annotating images of that equipment using this Skill, then exporting the dataset in COCO format for training a YOLO model.
Quick Start
Use the dataset-annotation skill to annotate frames using the dinov3 method and export the dataset in coco format.
Dependency Matrix
Required Modules
numpyopencv-python-headlessPillow
Components
scriptsreferences
💻 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: dataset-annotation Download link: https://github.com/SharpAI/DeepCamera/archive/main.zip#dataset-annotation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.