Object Detection
by AaaS · free · Last verified 2026-03-17
A core computer vision skill that enables agents to identify and locate objects within an image or video stream. By predicting bounding boxes and class labels for each object, this skill forms the foundation for environmental understanding. It is crucial for applications requiring spatial awareness, from autonomous navigation to automated inspection.
https://aaas.blog/skill/object-detection ↗B
B—Above Average
Adoption: AQuality: AFreshness: ACitations: B+Engagement: F
Specifications
- License
- MIT
- Pricing
- free
- Capabilities
- Bounding-box regression and classification, Multi-object detection in dense scenes, Real-time inference with optimized models (e.g., YOLO, RT-DETR), Non-Maximum Suppression (NMS) to filter redundant detections, Feature extraction using convolutional backbones, Handling various object scales and aspect ratios, Integration with tracking algorithms for video analysis, Confidence score thresholding for precision-recall tuning, Training on custom datasets for domain-specific tasks
- Integrations
- [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]
- Use Cases
- [object Object], [object Object], [object Object], [object Object], [object Object]
- API Available
- No
- Difficulty
- intermediate
- Prerequisites
- embedding-generation
- Supported Agents
- computer-use, claude-code
- Tags
- computer-vision, object-detection, bounding-box, yolo, detr, rt-detr, image-processing, instance-segmentation, real-time, perception, vision
- Added
- 2026-03-17
- Completeness
- 0.7%
Index Score
68.3Adoption
82
Quality
85
Freshness
88
Citations
74
Engagement
0