region:us
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
dataset_info:
  features:
  - name: img_batch
    list:
    - name: bytes
      dtype: binary
    - name: path
      dtype: 'null'
  - name: label_batch
    sequence: int64
  - name: width
    dtype: int64
  - name: height
    dtype: int64
  splits:
  - name: train
    num_bytes: 29474962100
    num_examples: 11497
  - name: test
    num_bytes: 2439605108
    num_examples: 939
  - name: validation
    num_bytes: 1204052050
    num_examples: 463
  download_size: 33102976411
  dataset_size: 33118619258
---
# Dataset Card for "imagenet_batched_64"
Subset of ImageNet-1k batched by image size


```python
from datasets import load_dataset
import PIL.Image as Image
import io
dataset = load_dataset("danjacobellis/imagenet_batched_64")
img_batch = dataset['train'][0]['img_batch']
img = Image.open(io.BytesIO(img_batch[0]['bytes']))
img
```
    
![png](README_files/README_3_0.png)
    


