- Keterangan :
10 gambar histologi kanker kolorektal bertekstur berukuran 5000 x 5000
- Kode sumber : - tfds.image_classification.ColorectalHistologyLarge
- Versi : -  2.0.0(default): API terpisah baru ( https://tensorflow.org/datasets/splits )
 
-  
- Ukuran unduhan : - 707.65 MiB
- Ukuran kumpulan data : - 464.91 MiB
- Cache otomatis ( dokumentasi ): Tidak 
- Perpecahan : 
| Membelah | Contoh | 
|---|---|
| 'test' | 10 | 
- Struktur fitur :
FeaturesDict({
    'filename': Text(shape=(), dtype=string),
    'image': Image(shape=(5000, 5000, 3), dtype=uint8),
})
- Dokumentasi fitur :
| Fitur | Kelas | Membentuk | Tipe D | Keterangan | 
|---|---|---|---|---|
| FiturDict | ||||
| nama file | Teks | rangkaian | ||
| gambar | Gambar | (5000, 5000, 3) | uint8 | 
- Kunci yang diawasi (Lihat dokumen - as_supervised):- None
- Gambar ( tfds.show_examples ): 

- Contoh ( tfds.as_dataframe ):
- Kutipan :
@article{kather2016multi,
  title={Multi-class texture analysis in colorectal cancer histology},
  author={Kather, Jakob Nikolas and Weis, Cleo-Aron and Bianconi, Francesco and Melchers, Susanne M and Schad, Lothar R and Gaiser, Timo and Marx, Alexander and Z{"o}llner, Frank Gerrit},
  journal={Scientific reports},
  volume={6},
  pages={27988},
  year={2016},
  publisher={Nature Publishing Group}
}