10 datasets found

Groups: Object Detection Organizations: No Organization

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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.

  • VOC

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

  • CAMO

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

  • 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.

  • 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...

  • Microsoft COCO

    The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...

  • 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...