mini-ImageNet-LT
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/rahulvigneswaran/tailcalibx
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资源简介:
该数据集是对mini-ImageNet数据集的扩展,通过特定的不平衡因子进行重采样,形成了长尾分布版本。该数据集包含100个类别,所有图像的尺寸为84x84像素。规模上,训练集包含48,000张图像,验证集和测试集各包含6,000张图像。该数据集的任务是进行图像分类。
This dataset is an extended variant of the mini-ImageNet dataset, resampled using a specific imbalance factor to create a long-tailed distribution version. It consists of 100 categories, with all images having a resolution of 84×84 pixels. In terms of scale, the training set contains 48,000 images, while the validation and test sets each include 6,000 images. The task for this dataset is image classification.
提供机构:
mini-ImageNet



