Object Detection
Detect, localize, and classify multiple objects in images and video with bounding boxes, enabling counting, tracking, and spatial analysis applications.
Discuss Your ProjectUse Cases
- Autonomous vehicle perception
- Retail shelf monitoring
- Security surveillance
- Satellite imagery analysis
- Medical lesion detection
- Wildlife monitoring
Overview
Object detection combines classification with localization, answering not just "what" is in an image but "where." Our detection systems output bounding boxes with class labels and confidence scores for every object of interest in a scene.
We deploy proven architectures including YOLO (v8, v9, v10, v11), RT-DETR, Faster R-CNN, and specialized detectors for small objects, rotated objects, and oriented bounding boxes. Our models are optimized for your specific speed-accuracy tradeoff, from real-time video processing to high-precision offline analysis.
Object detection is critical for applications requiring spatial awareness—counting inventory, monitoring traffic, identifying defects, and enabling autonomous systems. We handle challenging scenarios including dense scenes, occluded objects, and extreme aspect ratios.
Capabilities
What we can achieve with object detection
Real-Time Detection
Process video streams at 30+ FPS for surveillance, autonomous vehicles, and interactive applications using optimized YOLO and RT-DETR models.
Small Object Detection
Detect tiny objects in high-resolution imagery such as vehicles in satellite images or cells in microscopy using specialized architectures and tiling strategies.
Oriented Bounding Boxes
Detect rotated objects like text, ships, and aerial vehicles with angle-aware bounding boxes for precise localization regardless of orientation.
Multi-Scale Detection
Handle objects ranging from a few pixels to image-filling sizes using feature pyramid networks and multi-scale training.
Open-Vocabulary Detection
Detect objects described by natural language prompts without explicit training using foundation models like Grounding DINO.
Technologies We Use
Industries We Serve
This solution is applicable across multiple industries where visual data analysis is critical.
Related Solutions
Image Classification
Categorize images into predefined classes with high accuracy
Image Segmentation
Pixel-level understanding and precise boundary delineation
Object Tracking
Follow objects across video frames with persistent identity
Pose Estimation
Detect body keypoints and understand human/animal poses
Ready to Transform Your Vision?
Let's discuss how computer vision can solve your unique business challenges. Our team is ready to help you from concept to production.