Bibliografia:
Użyj następującego polecenia, aby załadować ten zestaw danych w TFDS:
ds = tfds.load('huggingface:pass')
- Opis :
PASS (Pictures without humAns for Self-Supervision) is a large-scale dataset of 1,440,191 images that does not include any humans
and which can be used for high-quality pretraining while significantly reducing privacy concerns.
The PASS images are sourced from the YFCC-100M dataset.
- Licencja : Creative Commons Uznanie autorstwa 4.0 Międzynarodowa
- Wersja : 1.0.0
- Dzieli :
| Rozdzielać | Przykłady |
|---|---|
'train' | 1439719 |
- Cechy :
{
"image": {
"id": null,
"_type": "Image"
},
"creator_username": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hash": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gps_latitude": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"gps_longitude": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"date_taken": {
"dtype": "timestamp[us]",
"id": null,
"_type": "Value"
}
}