Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
CHANGED
@@ -48,4 +48,25 @@ The data instances have the following fields:
|
|
48 |
### Data Splits
|
49 |
| | train | test |
|
50 |
|---------------|-------|-----:|
|
51 |
-
| # of examples | 8000 | 2000 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
48 |
### Data Splits
|
49 |
| | train | test |
|
50 |
|---------------|-------|-----:|
|
51 |
+
| # of examples | 8000 | 2000 |
|
52 |
+
|
53 |
+
|
54 |
+
```python
|
55 |
+
>>> from datasets import load_dataset
|
56 |
+
|
57 |
+
>>> dataset = load_dataset("Bingsu/Cat_and_Dog")
|
58 |
+
>>> dataset
|
59 |
+
DatasetDict({
|
60 |
+
train: Dataset({
|
61 |
+
features: ['image', 'labels'],
|
62 |
+
num_rows: 8000
|
63 |
+
})
|
64 |
+
test: Dataset({
|
65 |
+
features: ['image', 'labels'],
|
66 |
+
num_rows: 2000
|
67 |
+
})
|
68 |
+
})
|
69 |
+
|
70 |
+
>>> dataset["train"].features
|
71 |
+
{'image': Image(decode=True, id=None), 'labels': ClassLabel(num_classes=2, names=['cat', 'dog'], id=None)}
|
72 |
+
```
|