71 datasets found

A large-scale dataset for object detection and instance segmentation.

The PersonLab dataset is a benchmark for person pose estimation and instance segmentation. It contains 20,000 images with 80,000 annotated person instances.

Instance segmentation on 3D point clouds is one of the most extensively researched areas toward the realization of autonomous cars and robots.

Instance segmentation on 3D point clouds is one of the most extensively researched areas toward the realization of autonomous cars and robots.

MosaicFusion: A simple yet effective diffusion-based data augmentation approach for large vocabulary instance segmentation.

The VFSS2022 dataset is a collection of 440 CT frames from Videofluoroscopic Swallowing Studies (VFSS) for instance segmentation in medical CT videos.

The OpenImages dataset V6 contains images with annotations for object detection and instance segmentation tasks.

The dataset used in the paper is the Dense RepPoints dataset, which is a regression-based instance segmentation approach.

Deep Affinity Net: an effective affinity-based approach accompanied with a new graph partitioning algorithm Cascade-GAEC.

Instance segmentation is a fundamental yet challenging task in computer vision, which requires an algorithm to predict a per-pixel mask with a category label for each instance...

The dataset used in this paper for instance segmentation.

A dataset for amodal instance segmentation, consisting of images with variable numbers of object instances.

The YouTube-VIS dataset is a large-scale dataset for instance segmentation, containing 2,883 videos and 131K instance masks.

The MOTS dataset is a variant of the MOT dataset, containing 4 training sequences and 4 test sequences.

The SOTR dataset is a custom dataset used for testing the proposed SOTR model.

iSAID dataset is a large-scale high-resolution remote sensing dataset for aerial instance segmentation, containing many small objects with complex backgrounds.

A dataset for training instance segmentation networks for hair wisp extraction.

A hair wisp dataset for instance segmentation, consisting of real portrait photos and ground-truth annotations of hair wisps.

The dataset used in the paper is a synthetic dataset for image-based object detection tasks, specifically instance segmentation and monocular 3D detection.

Po-LarMask: Single shot instance segmentation with polar representation.