Object Detection/Segmentation Skill

SkillDev tools

Deep learning based object detection and segmentation for robotics applications

Use Object Detection/Segmentation Skill in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

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

Details

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

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

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

Object Detection/Segmentation SkillStart free

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: 113
Last commit: Sep 2026

Advanced

Item type: skill
Key: object-detection-segmentation-skill
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter