Object Detection/Segmentation Skill

SkillDev tools

Deep learning based object detection and segmentation for robotics applications

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Object Detection/Segmentation Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/robotics-simulation/skills/object-detection/SKILL.md and read by ahel’s review.

Overview

Expert skill for deploying and optimizing deep learning models for object detection, instance segmentation, and 3D object detection in robotics applications.

Capabilities

  • Configure YOLO (v5, v8) for real-time detection
  • Set up Detectron2 for instance segmentation
  • Implement semantic segmentation models
  • Configure TensorRT optimization for Jetson
  • Set up ONNX runtime deployment
  • Implement 3D object detection (PointPillars, VoxelNet)
  • Configure depth-based object detection
  • Set up ROS vision pipelines with image_pipeline
  • Implement object tracking (SORT, DeepSORT, ByteTrack)
  • Configure multi-camera detection fusion

Target Processes

  • object-detection-pipeline.js
  • synthetic-data-pipeline.js
  • nn-model-optimization.js
  • moveit-manipulation-planning.js

Dependencies

  • YOLO (Ultralytics)
  • Detectron2
  • TensorRT
  • ONNX Runtime
  • vision_msgs

Usage Context

This skill is invoked when processes require object detection model deployment, instance segmentation, 3D detection, or multi-object tracking for robot perception.

Output Artifacts

  • Detection model configurations
  • TensorRT optimized models
  • ROS detection node implementations
  • Tracking pipeline configurations
  • Multi-camera fusion setups
  • Inference optimization scripts

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
object-detection-segmentation-skill
Source
github.com/a5c-ai/babysitter