five

CVdatasets/ImageNet15_animals_unbalanced_augmented1

收藏
Hugging Face2023-02-27 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CVdatasets/ImageNet15_animals_unbalanced_augmented1
下载链接
链接失效反馈
官方服务:
资源简介:
--- dataset_info: features: - name: labels dtype: class_label: names: '0': Italian greyhound '1': coyote, prairie wolf, brush wolf, Canis latrans '2': beagle '3': Rottweiler '4': hyena, hyaena '5': Greater Swiss Mountain dog '6': triceratops '7': French bulldog '8': red wolf, maned wolf, Canis rufus, Canis niger '9': Egyptian cat '10': Chihuahua '11': Irish terrier '12': tiger cat '13': white wolf, Arctic wolf, Canis lupus tundrarum '14': timber wolf, grey wolf, gray wolf, Canis lupus - name: img dtype: image splits: - name: validation num_bytes: 60570468.125 num_examples: 1439 - name: train num_bytes: 161485444.02117264 num_examples: 3681 download_size: 222111550 dataset_size: 222055912.14617264 --- # Dataset Card for "ImageNet15_animals_unbalanced_augmented1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
CVdatasets
原始信息汇总

数据集概述

数据集名称

  • ImageNet15_animals_unbalanced_augmented1

数据集特征

  1. labels

    • 数据类型: 类别标签
    • 类别名称:
      • 0: Italian greyhound
      • 1: coyote, prairie wolf, brush wolf, Canis latrans
      • 2: beagle
      • 3: Rottweiler
      • 4: hyena, hyaena
      • 5: Greater Swiss Mountain dog
      • 6: triceratops
      • 7: French bulldog
      • 8: red wolf, maned wolf, Canis rufus, Canis niger
      • 9: Egyptian cat
      • 10: Chihuahua
      • 11: Irish terrier
      • 12: tiger cat
      • 13: white wolf, Arctic wolf, Canis lupus tundrarum
      • 14: timber wolf, grey wolf, gray wolf, Canis lupus
  2. img

    • 数据类型: 图像

数据集划分

  1. validation

    • 样本数量: 1439
    • 数据大小: 60570468.125字节
  2. train

    • 样本数量: 3681
    • 数据大小: 161485444.02117264字节

数据集大小

  • 下载大小: 222111550字节
  • 数据集总大小: 222055912.14617264字节
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作