PASCAL VOC

PASCAL Visual Object Classes Challenge

ImagesCustomIntroduced 2010-01-01

The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, boat, bus, car, motorbike, train, bottle, chair, dining table, potted plant, sofa, TV/monitor, bird, cat, cow, dog, horse, sheep, and person. Each image in this dataset has pixel-level segmentation annotations, bounding box annotations, and object class annotations. This dataset has been widely used as a benchmark for object detection, semantic segmentation, and classification tasks. The PASCAL VOC dataset is split into three subsets: 1,464 images for training, 1,449 images for validation and a private testing set.

Source: Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Image Source: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/examples/images/sheep_06.jpg

Benchmarks

Related Benchmarks

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Classification/A-OSE PASCAL VOC 2007/2D Classification/AP50 PASCAL VOC 2007/2D Classification/Average mAP PASCAL VOC 2007/2D Classification/FPS PASCAL VOC 2007/2D Classification/MAP PASCAL VOC 2007/2D Classification/Unknown Recall PASCAL VOC 2007/2D Classification/WI PASCAL VOC 2007/2D Classification/box AP PASCAL VOC 2007/2D Classification/mAP@50 PASCAL VOC 2007/2D Classification/mAP@50-95 PASCAL VOC 2007/2D Classification/mPC [AP50]PASCAL VOC 2007/2D Classification/rPC [%]PASCAL VOC 2007/2D Object Detection/A-OSE PASCAL VOC 2007/2D Object Detection/AP50 PASCAL VOC 2007/2D Object Detection/FPS PASCAL VOC 2007/2D Object Detection/MAP PASCAL VOC 2007/2D Object Detection/Unknown Recall PASCAL VOC 2007/2D Object Detection/WI PASCAL VOC 2007/2D Object Detection/box AP PASCAL VOC 2007/2D Object Detection/mAP@50 PASCAL VOC 2007/2D Object Detection/mAP@50-95 PASCAL VOC 2007/2D Object Detection/mPC [AP50]PASCAL VOC 2007/2D Object Detection/rPC [%]PASCAL VOC 2007/3D/A-OSE PASCAL VOC 2007/3D/AP50 PASCAL VOC 2007/3D/FPS PASCAL VOC 2007/3D/MAP PASCAL VOC 2007/3D/Unknown Recall PASCAL VOC 2007/3D/WI PASCAL VOC 2007/3D/box AP PASCAL VOC 2007/3D/mAP@50 PASCAL VOC 2007/3D/mAP@50-95 PASCAL VOC 2007/3D/mPC [AP50]PASCAL VOC 2007/3D/rPC [%]PASCAL VOC 2007/Image Classification/Accuracy PASCAL VOC 2007/Image Classification/Average mAP PASCAL VOC 2007/Multi-Label Classification/mAP PASCAL VOC 2007/Multi-Label Image Classification/Average mAP PASCAL VOC 2007/Object Detection/A-OSE PASCAL VOC 2007/Object Detection/AP50 PASCAL VOC 2007/Object Detection/FPS PASCAL VOC 2007/Object Detection/MAP PASCAL VOC 2007/Object Detection/Unknown Recall PASCAL VOC 2007/Object Detection/WI PASCAL VOC 2007/Object Detection/box AP PASCAL VOC 2007/Object Detection/mAP@50 PASCAL VOC 2007/Object Detection/mAP@50-95 PASCAL VOC 2007/Object Detection/mPC [AP50]PASCAL VOC 2007/Object Detection/rPC [%]PASCAL VOC 2007/Object Localization/CorLoc PASCAL VOC 2007/Semantic Segmentation/Mean IoU PASCAL VOC 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[mIoU]PASCAL VOC 2012 val/Semantic Segmentation/Linear Classifier [mIoU]PASCAL VOC 2012 val/Semantic Segmentation/Mean IoU PASCAL VOC 2012 val/Semantic Segmentation/mIoU PASCAL VOC 2012 val/Semantic Segmentation/mIoU (Syn)PASCAL VOC 2012 val/Unsupervised Semantic Segmentation/Clustering [mIoU]PASCAL VOC 2012 val/Unsupervised Semantic Segmentation/FCN [mIoU]PASCAL VOC 2012 val/Unsupervised Semantic Segmentation/Linear Classifier [mIoU]PASCAL VOC 2012 val/Weakly-supervised instance segmentation/Average Best Overlap PASCAL VOC 2012 val/Weakly-supervised instance segmentation/mAP@0.25 PASCAL VOC 2012 val/Weakly-supervised instance segmentation/mAP@0.5 PASCAL VOC 2012 val/Weakly-supervised instance segmentation/mAP@0.75 PASCAL VOC 2012, 60 proposals per image/16k/Average Recall PASCAL VOC 2012, 60 proposals per image/2D Classification/Average Recall PASCAL VOC 2012, 60 proposals per image/2D Object Detection/Average Recall PASCAL VOC 2012, 60 proposals per image/3D/Average Recall PASCAL VOC 2012, 60 proposals per image/Object Detection/Average Recall PASCAL VOC to Comic2k/16k/mAP PASCAL VOC to Comic2k/2D Classification/mAP PASCAL VOC to Comic2k/2D Object Detection/mAP PASCAL VOC to Comic2k/3D/mAP PASCAL VOC to Comic2k/Object Detection/mAP PASCAL VOC to Watercolor2k/16k/mAp PASCAL VOC to Watercolor2k/2D Classification/mAp PASCAL VOC to Watercolor2k/2D Object Detection/mAp PASCAL VOC to Watercolor2k/3D/mAp PASCAL VOC to Watercolor2k/Object Detection/mAp PASCAL VOC'07/16k/mAP PASCAL VOC'07/2D Classification/mAP PASCAL VOC'07/2D Object Detection/mAP PASCAL VOC'07/3D/mAP PASCAL VOC'07/Object Detection/mAP Pascal VOC 2007 count-test/Object Counting/m-reIRMSE-nz Pascal VOC 2007 count-test/Object Counting/m-relRMSE Pascal VOC 2007 count-test/Object Counting/mRMSE Pascal VOC 2007 count-test/Object Counting/mRMSE-nz Pascal VOC 2012 1% labeled/10-shot image generation/Validation mIoU Pascal VOC 2012 1% labeled/Semantic Segmentation/Validation mIoU Pascal VOC 2012 12.5% labeled/10-shot image generation/Validation mIoU Pascal VOC 2012 12.5% labeled/Semantic Segmentation/Validation mIoU Pascal VOC 2012 2% labeled/10-shot image generation/Validation mIoU Pascal VOC 2012 2% labeled/Semantic Segmentation/Validation mIoU Pascal VOC 2012 5% labeled/10-shot image generation/Validation mIoU Pascal VOC 2012 5% labeled/Semantic Segmentation/Validation mIoU Pascal VOC 2012 50% labeled/10-shot image generation/Validation mIoU Pascal VOC 2012 50% labeled/Semantic Segmentation/Validation mIoU Pascal VOC 2012 6.25% labeled/10-shot image generation/Validation mIoU Pascal VOC 2012 6.25% labeled/Semantic Segmentation/Validation mIoU Pascal VOC to Clipart1K/16k/mAP Pascal VOC to Clipart1K/2D Classification/mAP Pascal VOC to Clipart1K/2D Object Detection/mAP Pascal VOC to Clipart1K/3D/mAP Pascal VOC to Clipart1K/Domain Adaptation/mAP Pascal VOC to Clipart1K/Object Detection/mAP Pascal VOC to Clipart1K/Unsupervised Domain Adaptation/mAP