|
|
--- |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
dataset_info: |
|
|
features: |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: serial_number |
|
|
dtype: string |
|
|
- name: toughness |
|
|
dtype: int64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 6074617.0 |
|
|
num_examples: 55 |
|
|
download_size: 6059493 |
|
|
dataset_size: 6074617.0 |
|
|
--- |
|
|
```python |
|
|
import requests |
|
|
import io |
|
|
import json |
|
|
import datasets |
|
|
import huggingface_hub |
|
|
|
|
|
huggingface_hub.login(HF_TOKEN) |
|
|
ds = datasets.load_dataset('kahua-ml/serial_number_dataset')['train'] |
|
|
|
|
|
headers = { |
|
|
'accept': 'application/json', |
|
|
} |
|
|
|
|
|
# Convert PIL Image to bytes |
|
|
image_buffer = io.BytesIO() |
|
|
ds[0]['image'].save(image_buffer, format='JPEG') |
|
|
image_buffer.seek(0) |
|
|
|
|
|
fields = [ |
|
|
{"field_mapping":"serial_number","field_name":"serial_number","field_type":"text"}, |
|
|
] |
|
|
|
|
|
files = { |
|
|
'file': ('image.jpg', image_buffer, 'image/jpeg'), |
|
|
'input': (None, '{"domain_id":"domain456","fields":' + json.dumps(fields) + ',"user_id":"user123"}'), |
|
|
} |
|
|
|
|
|
response = requests.post( |
|
|
AZURE_URL, |
|
|
headers=headers, |
|
|
files=files, |
|
|
) |
|
|
``` |
|
|
--- |
|
|
|
|
|
dataset_info: |
|
|
features: |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: serial_number |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 8858770.0 |
|
|
num_examples: 61 |
|
|
download_size: 8670997 |
|
|
dataset_size: 8858770.0 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
--- |
|
|
|
|
|
|
|
|
|