52 datasets found

The COCO 2017 Dataset is a large-scale benchmark dataset for object detection, semantic segmentation, and instance segmentation.

The Market-1501 dataset is a large benchmark for person re-identification. It contains 12,000 images with 1,500 images per person, annotated with bounding boxes and masks for...

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 dataset used in the paper is COCO-Panoptic and ADE20K, which are widely used in the field of computer vision.

The PartNet dataset is a large-scale benchmark for 3D object recognition and retrieval. It consists of 527 objects composed of 2690 parts, which can be composited into a...

The dataset used for training and testing the OMG-Seg model, which includes COCO panoptic, COCO-SAM, VIPSeg, Youtube-VIS-2019, and Youtube-VIS-2021 datasets.

LVIS: A dataset for large vocabulary instance segmentation.

Thai car-damage dataset for instance segmentation

The Argoverse dataset is a large-scale dataset for autonomous driving, containing 3D point clouds, semantic segmentation masks, and instance segmentation masks.

The iShape dataset is a dataset for irregular shape instance segmentation.

LVIS is a large-vocabulary object detection and instance segmentation dataset.

The COCO test-dev dataset is used for instance segmentation. It contains 20k test-dev images.

Where are the blobs: Counting by localization with point supervision.

A major obstacle in instance segmentation is that existing methods often need many per-pixel labels in order to be effective. These labels require large human effort and for...

A large dataset of images of underwater trash collected from a variety of sources, annotated with bounding boxes and segmentation labels.

Instance segmentation dataset for VIPriors workshop at ICCV 2021

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...

Object detection is one of the most foundational computer vision task and is essential for many real-world applications. The object detection pipeline has been developed...

A hierarchical surgical tool dataset for evaluating deep learning techniques.

A novel dataset designed for recognizing and categorizing surgical instruments.