List of Image Classification Datasets
- MNIST (Modified National Institute of Standards and Technology)
- CIFAR-10 and CIFAR-100 (Canadian Institute For Advanced Research)
- ImageNet
- COCO (Common Objects in Context)
- Fashion-MNIST
- SVHN (Street View House Numbers)
- Caltech 101 and Caltech 256
- PASCAL VOC (Pattern Analysis, Statistical Modelling and Computational Learning Visual Object Classes)
- CelebA (CelebFaces Attributes Dataset)
- FER-2013 (Facial Expression Recognition 2013)
- Tiny ImageNet
- Oxford 102 Flower Dataset
- Animals with Attributes 2 (AwA2)
- Stanford Cars
- MIT Indoor Scenes
Dataset for Image Classification
The field of computer vision has witnessed remarkable progress in recent years, largely driven by the availability of large-scale datasets for image classification tasks. These datasets play a pivotal role in training and evaluating machine learning models, enabling them to recognize and categorize visual content with increasing accuracy.
In this article, we will discuss some of the famous datasets used for image classification.
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