Referanslar:
meta-kayma
Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:
ds = tfds.load('huggingface:metashift/metashift')
- Tanım :
The MetaShift is a dataset of datasets for evaluating distribution shifts and training conflicts.
The MetaShift dataset is a collection of 12,868 sets of natural images across 410 classes.
It was created for understanding the performance of a machine learning model across diverse data distributions.
- Lisans : https://github.com/Weixin-Liang/MetaShift/blob/main/LICENSE
- Sürüm : 1.0.0
- Bölünmeler :
Bölmek | Örnekler |
---|---|
'train' | 86808 |
- Özellikler :
{
"image_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"image": {
"decode": true,
"id": null,
"_type": "Image"
},
"label": {
"num_classes": 8,
"names": [
"cat",
"dog",
"bus",
"truck",
"elephant",
"horse",
"bowl",
"cup"
],
"id": null,
"_type": "ClassLabel"
},
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}