Referensi:
fashion_mnist
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:fashion_mnist/fashion_mnist')
- Keterangan :
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of
60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image,
associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct drop-in
replacement for the original MNIST dataset for benchmarking machine learning algorithms.
It shares the same image size and structure of training and testing splits.
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 10.000 |
'train' | 60000 |
- Fitur :
{
"image": {
"id": null,
"_type": "Image"
},
"label": {
"num_classes": 10,
"names": [
"T - shirt / top",
"Trouser",
"Pullover",
"Dress",
"Coat",
"Sandal",
"Shirt",
"Sneaker",
"Bag",
"Ankle boot"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}