davanstrien/MAMe
收藏资源简介：
--- dataset_info: config_name: '256' features: - name: image dtype: image - name: label dtype: class_label: names: '0': Albumen photograph '1': Bronze '2': Ceramic '3': Clay '4': Engraving '5': Etching '6': Faience '7': Glass '8': Gold '9': Graphite '10': Hand-colored engraving '11': Hand-colored etching '12': Iron '13': Ivory '14': Limestone '15': Lithograph '16': Marble '17': Oil on canvas '18': Pen and brown ink '19': Polychromed wood '20': Porcelain '21': Silk and metal thread '22': Silver '23': Steel '24': Wood '25': Wood engraving '26': Woodblock '27': Woodcut '28': Woven fabric - name: Museum dtype: string - name: Museum-based instance ID dtype: string - name: Width dtype: float32 - name: Height dtype: float32 - name: Product size dtype: float32 - name: Aspect ratio dtype: float32 splits: - name: train num_bytes: 441294458.5 num_examples: 20300 - name: validation num_bytes: 26810584.95 num_examples: 1450 - name: test num_bytes: 362018531.291 num_examples: 15657 download_size: 719959312 dataset_size: 830123574.7409999 builder_config: config_name: '256' data_files: - split: train pattern: 256/train-* - split: validation pattern: 256/validation-* - split: test pattern: 256/test-* --- # Dataset Card for "MAMe" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
数据集概述
数据集配置
- 配置名称: 256
数据集特征
- image: 图片类型
- label: 分类标签类型，包含以下类别：
- 0: Albumen photograph
- 1: Bronze
- 2: Ceramic
- 3: Clay
- 4: Engraving
- 5: Etching
- 6: Faience
- 7: Glass
- 8: Gold
- 9: Graphite
- 10: Hand-colored engraving
- 11: Hand-colored etching
- 12: Iron
- 13: Ivory
- 14: Limestone
- 15: Lithograph
- 16: Marble
- 17: Oil on canvas
- 18: Pen and brown ink
- 19: Polychromed wood
- 20: Porcelain
- 21: Silk and metal thread
- 22: Silver
- 23: Steel
- 24: Wood
- 25: Wood engraving
- 26: Woodblock
- 27: Woodcut
- 28: Woven fabric
- Museum: 字符串类型
- Museum-based instance ID: 字符串类型
- Width: 浮点数类型
- Height: 浮点数类型
- Product size: 浮点数类型
- Aspect ratio: 浮点数类型
数据集分割
- train: 20300个样本，总大小441294458.5字节
- validation: 1450个样本，总大小26810584.95字节
- test: 15657个样本，总大小362018531.291字节
数据集大小
- 下载大小: 719959312字节
- 数据集总大小: 830123574.7409999字节
