16 datasets found

Formats: JSON Tags: object segmentation

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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.

  • Pascal Visual Object Classes (VOC)

    A benchmark dataset for visual object classes, containing 20 object classes and over 100,000 images.

  • 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...

  • LM-O

    The LM-O dataset consists of 1214 images and is used as a test dataset for 6DoF object pose estimation. The dataset includes 8 objects with partial occlusion.

  • CAMO

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

  • DAVIS Dataset

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

  • ScanNetV2

    The dataset used in the paper is ScanNetV2, a real-world dataset for indoor scenes. It contains 1205 training scenes and 312 testing scenes, with instance-level object bounding...

  • 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.

  • Youtube-VIS-2019 Dataset

    The Youtube-VIS-2019 dataset, which is a benchmark for video instance segmentation.

  • DAVIS-17 Dataset

    The DAVIS-17 dataset, which is a benchmark for video object segmentation.

  • BOP Challenge 2022

    The BOP Challenge 2022 is the fourth in a series of public challenges that are part of the BOP1 project aiming to continuously report the state of the art in 6D object pose...

  • Pascal VOC

    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...

  • ShapeNetPart

    The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.

  • SCD: A Stacked Carton Dataset for Detection and Segmentation

    A stacked carton dataset for detection and segmentation, containing carton images from three scenarios: comprehensive pharmaceutical logistics company (CPLC), e-commerce...

  • COCO

    Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...
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