27 datasets found

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  • BDD100K MOTS

    The BDD100K MOTS dataset is a subset of the BDD100K dataset, containing 154 videos with annotation for training and validation, and 37 videos for testing.

  • Improved Object-Based Style Transfer with Single Deep Network

    The proposed approach uses a single deep network of YOLOv8 for both segmentation and style transfer.

  • SAM3D Dataset

    The SAM3D dataset is a custom dataset created for the SAM3D paper, containing 798 training sequences, 202 validation sequences, and 150 testing sequences.

  • SmartMask Dataset

    A large-scale dataset consisting of fine-grain amodal segmentation masks for different objects in an input image.

  • VOC

    The dataset used in the paper is the VOC dataset, which is a dataset for object detection and segmentation.

  • Scan2CAD

    The Scan2CAD dataset contains object-level human-generated annotations. The annotations include category label, segmentation, a similar CAD model in ShapeNet, and the...

  • SHIMRIE dataset

    The SHIMRIE dataset is a new dataset for the Object Segmentation from Manipulation Instructions (OSMI) task. It contains 4341 images and 11371 sentences, with a vocabulary size...

  • S3DIS and ShapeNetPart

    The dataset used for indoor scene segmentation and object part segmentation.

  • CAMO

    The CAMO dataset is the first COD dataset, containing 1,250 camouflaged images and 1,250 non-camouflaged images.

  • OOD

    Unsupervised multi-object segmentation using attention and soft-argmax

  • ShapeStacks

    Unsupervised multi-object segmentation using attention and soft-argmax

  • ObjectsRoom

    Unsupervised multi-object segmentation using attention and soft-argmax

  • CLEVRTEX

    CLEVRTEX is a synthetic dataset designed to present the next challenge in unsupervised multi-object learning. It introduces confounding visual aspects such as texture, irregular...

  • AST-Seg

    Unsupervised multi-object segmentation using attention and soft-argmax

  • DAVIS Dataset

    The DAVIS dataset contains 60 training sequences and 30 validation sequences, with high-quality densely-annotated segmentation mask annotation for each frame.

  • LiveVideos

    A large-scale benchmark called LiveVideos for the video object of interest segmentation task.

  • CHAMELEON

    Camouflaged object segmentation (COS) aims to iden-

  • COD10K

    The COD10K dataset is currently the largest challenging dataset for COD, containing 10K images with dense annotations.

  • PASCAL

    A dataset of textual entailment tasks, used for evaluating the ability of language models to understand relationships between texts.

  • Pascal Visual Object Classes (VOC) Challenge

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