482 datasets found

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  • Coco: Common objects in context

    Publicly available plant image datasets are crucial in precision agriculture as they reduce the time and effort spent on data collection and preparation. Also, more data enable...

  • ILSVRC

    ILSVRC is a large-scale image dataset containing over 1.2 million images across 1,000 classes.

  • PASCAL VOC 2007 dataset

    PASCAL VOC 2007 dataset is a widely used dataset for object detection and semantic segmentation. We use all the split sets (training, validation, testing) in the VOC2007 dataset...

  • Objects365

    The Objects365 dataset is a large-scale object detection dataset containing 365,000 images with 365 categories.

  • SODA10M

    SODA10M contains 10M un-labeled images and 20K labeled images of size 1920 × 1080 with default format of JPEG.

  • CODA

    The CODA dataset is a real-world road corner case dataset for object detection in autonomous driving.

  • PASCAL VOC and MS COCO

    PASCAL VOC and MS COCO datasets were used for training.

  • KL-Divergence-Based Region Proposal Network for Object Detection

    Object detection using deep neural networks (DNN) has shown excellent performance and has been used in many industrial fields like face recognition, pedestrian detection, and...

  • VOC-Mixture

    The dataset used in the paper for semi-supervised object detection tasks.

  • COCO-Full

    The dataset used in the paper for semi-supervised object detection tasks.

  • COCO-Standard

    The dataset used in the paper for semi-supervised object detection tasks.

  • OpenImagesV4

    Object proposal generation models: We study how a detection model trained on a small set of source classes can provide proposals that generalize to unseen object classes.

  • POPE

    The dataset used in this paper is a multimodal large language model (LLaMM) dataset, specifically POPE, which consists of 7 billion parameters and is used for multimodal tasks...

  • YFCC100M

    The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.

  • Grounding Dino

    Marrying dino with grounded pre-training for open-set object detection.

  • Mask R-CNN dataset

    The dataset used in the paper is a Mask R-CNN dataset for object detection.

  • Feature Pyramid Networks for Object Detection

    Object detection using feature pyramid networks

  • NWPU-RESISC45

    NWPU-RESISC45 dataset was collected from more than 100 countries and regions in the world, consists of 31,500 remote sensing images.

  • VisDrone2019 VID

    Object detection on aerial imagery using CenterNet

  • TrashCan

    A large dataset of images of underwater trash collected from a variety of sources, annotated with bounding boxes and segmentation labels.