7 datasets found

The Pascal VOC, Pascal Context, COCO-Object, Cityscapes, and ADE20k datasets are used for evaluation of the proposed method.

Open-set object detection datasets

The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and...

The Pascal Visual Object Classes (VOC) dataset is a benchmark for object detection and image classification.

The Pascal Visual Object Classes (VOC) challenge is a benchmark for object detection and segmentation.

The dataset used in the paper is ImageNet, MS COCO, and Pascal VOC datasets.

Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...