Visualisasi : Jelajahi di Kenali Data Anda
Deskripsi :
10 gambar histologi kanker kolorektal bertekstur besar 5000 x 5000
Kode sumber :
tfds.image_classification.ColorectalHistologyLarge
Versi :
-
2.0.0
(default): API split baru ( https://tensorflow.org/datasets/splits )
-
Ukuran unduhan :
707.65 MiB
Ukuran dataset :
464.91 MiB
Di-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 | Dtype | Keterangan |
---|---|---|---|---|
fiturDict | ||||
nama file | Teks | rangkaian | ||
gambar | Gambar | (5000, 5000, 3) | uint8 |
Kunci yang diawasi (Lihat
as_supervised
doc ):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}
}