Instance Segmentation - Groups

Microsoft COCO (MS-COCO) Dataset

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

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PersonLab dataset

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

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Area 6

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

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Stanford Large Scale 3D Indoor Spaces Dataset (S3DIS)

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

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MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instan...

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

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VFSS2022 dataset

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

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OpenImages dataset V6

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

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Dense RepPoints dataset

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

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Deep Aﬃnity Net: Instance Segmentation via Aﬃnity

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

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Conditional Convolutions for Instance Segmentation

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...

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BlendMask-RT

The dataset used in this paper for instance segmentation.

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KINS Dataset

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

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YouTube-VIS Dataset

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

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MOTS Dataset

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

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SOTR Dataset

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

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iSAID

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

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SketchHairSalon dataset

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

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Hair-Wisp dataset

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

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Synscapes

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

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Po-LarMask: Single shot instance segmentation with polar representation

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

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71 datasets found