57 datasets found

Tags: image classification

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  • Cars dataset

    The Cars dataset is a multi-object multi-camera network application.

  • Imagenette

    The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data.

  • Open Images V5

    A dataset for unified image classification, object detection, and visual relationship detection, consisting of 9.2 million images.

  • MS COCO val2017 dataset

    The dataset used in this paper is the MS COCO val2017 dataset, which is a subset of the MS COCO dataset used for validation.

  • Pets

    The dataset used in the paper to evaluate the effectiveness of the Unlearnable Clusters (UCs) technique.

  • Open Images Dataset

    The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images...

  • OpenImagesV4 Dataset

    The OpenImagesV4 dataset is a large benchmark dataset for object detection and image classification. It contains 1.7 million images with 1,000 object classes.

  • BSD100

    The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

  • PASCAL VOC 2007, 2010, 2012, ILSVRC 2013, and MSCOCO 2014 datasets

    The PASCAL VOC 2007, 2010, 2012 datasets, the ILSVRC 2013 dataset, and the MSCOCO 2014 dataset.

  • PASCAL VOC Dataset

    The PASCAL VOC dataset contains 20 classes, including person, animal, vehicle, and indoor, with 9,963 images containing 24,640 annotated objects.

  • COCO 2014

    The COCO 2014 validation set is used for evaluating the performance of the proposed method.

  • Linley et al. (2014) - Microsoft COCO

    Linley et al. (2014) - Microsoft COCO

  • iNaturalist-18/19

    The dataset used in the paper is iNaturalist-18/19, a dataset for object detection and image classification.

  • iNaturalist 2018 and iNaturalist 2019

    The dataset used in the paper is iNaturalist 2018 and iNaturalist 2019, two datasets for object detection and image classification.

  • Microsoft COCO Dataset

    The MS COCO 2014 Dataset contains images of 91 object categories, which contains 82783 training images, 40504 validation images and 40775 testing images.

  • Stanford Cars dataset

    The Stanford Cars dataset is a dataset of images of cars, with 196 categories and approximately 16,000 images. The authors created a synthetic dataset by adding occlusions of...

  • Cars Overhead With Context (COWC) dataset

    The dataset used in the paper is the Cars Overhead With Context (COWC) dataset, which contains images of cars in overhead imagery.

  • Open Images

    The Open Images dataset is a large-scale image dataset with a wide range of images, including but not limited to, street scenes, indoor scenes, and outdoor scenes.

  • BDD100k

    The BDD100k dataset is a large-scale driving dataset containing 100,000 images of various weather conditions, including clear, rainy, foggy, and night-time.

  • ESD dataset

    The ESD dataset offers finetuned weights for the 'car' and 'French-horn' classes.