Object Detection
Locating and classifying objects in images (COCO, Pascal VOC).
Object Detection is a key task in computer vision. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.
Benchmarks & SOTA
COCO
Microsoft COCO: Common Objects in Context
330K images, 1.5 million object instances, 80 object categories. Standard benchmark for object detection and segmentation.
State of the Art
Co-DETR (Swin-L)
Research
66
mAP
Pascal VOC 2012
Pascal Visual Object Classes Challenge 2012
11,530 images with 27,450 ROI annotated objects and 6,929 segmentations. Classic object detection benchmark.
No results tracked yet
Related Tasks
General OCR Capabilities
Comprehensive benchmarks covering multiple aspects of OCR performance.
Polish OCR
OCR for Polish language including historical documents, gothic fonts, and diacritic recognition.
Image Classification
Categorizing images into predefined classes (ImageNet, CIFAR).
Semantic Segmentation
Pixel-level classification of images (Cityscapes, ADE20K).