image dict | image_id stringlengths 16 16 | relpath stringlengths 26 26 |
|---|---|---|
{
"bytes": [
255,
216,
255,
224,
0,
16,
74,
70,
73,
70,
0,
1,
1,
0,
0,
1,
0,
1,
0,
0,
255,
219,
0,
67,
0,
3,
2,
2,
3,
2,
2,
3,
3,
3,
3,
4,
3,
3,
4,
5,
8,
... | 0000059611c7d079 | 0/0/0/0000059611c7d079.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 0000070506c174cc | 0/0/0/0000070506c174cc.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 000008ae30de967e | 0/0/0/000008ae30de967e.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 000014b1f770f640 | 0/0/0/000014b1f770f640.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 000015f76534add3 | 0/0/0/000015f76534add3.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 00001ae42cd00356 | 0/0/0/00001ae42cd00356.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 00001b2ba2c69ac5 | 0/0/0/00001b2ba2c69ac5.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 00001d45edef6c9e | 0/0/0/00001d45edef6c9e.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 000020dfc079c013 | 0/0/0/000020dfc079c013.jpg |
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED) | 000022ce0b9d8966 | 0/0/0/000022ce0b9d8966.jpg |
End of preview. Expand in Data Studio
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
pretty_name: Google Landmarks Dataset v2 (images only)
license: unknown
---
## How to load
```python
from datasets import load_dataset, Image
ds = load_dataset("parquet", data_files="data/*.parquet", split="train")
ds = ds.cast_column("image", Image()) # decode bytes -> PIL
print(ds[0]["image"], ds[0]["image_id"])
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