kingkenche/stl10-resnet18
Image Classification • Updated
image imagewidth (px) 96 96 | label class label 10 classes |
|---|---|
5dog | |
9truck | |
2car | |
6horse | |
4deer | |
2car | |
1bird | |
1bird | |
3cat | |
3cat | |
1bird | |
8ship | |
6horse | |
6horse | |
8ship | |
5dog | |
8ship | |
1bird | |
9truck | |
1bird | |
3cat | |
7monkey | |
8ship | |
4deer | |
4deer | |
9truck | |
5dog | |
5dog | |
1bird | |
0airplane | |
4deer | |
1bird | |
3cat | |
3cat | |
2car | |
8ship | |
9truck | |
8ship | |
7monkey | |
1bird | |
2car | |
8ship | |
1bird | |
0airplane | |
4deer | |
0airplane | |
7monkey | |
0airplane | |
8ship | |
3cat | |
2car | |
1bird | |
3cat | |
5dog | |
7monkey | |
1bird | |
9truck | |
7monkey | |
7monkey | |
0airplane | |
8ship | |
9truck | |
0airplane | |
3cat | |
6horse | |
1bird | |
1bird | |
7monkey | |
8ship | |
3cat | |
9truck | |
9truck | |
1bird | |
3cat | |
9truck | |
6horse | |
1bird | |
0airplane | |
3cat | |
8ship | |
4deer | |
5dog | |
9truck | |
3cat | |
3cat | |
6horse | |
3cat | |
9truck | |
7monkey | |
8ship | |
1bird | |
7monkey | |
5dog | |
6horse | |
1bird | |
5dog | |
3cat | |
6horse | |
4deer | |
3cat |
Stratified random subset of STL-10.
| Split | Rows | Per class |
|---|---|---|
| train | 5,000 | 500 |
| test | 1,000 | 100 |
| validation | 500 | 50 |
Classes: airplane, bird, car, cat, deer, dog, horse, monkey, ship, truck Images: 96 × 96 RGB | Seed: 42
from datasets import load_dataset
ds = load_dataset("Chiranjeev007/STL-10_Subset")
sample = ds["train"][0]
sample["image"] # PIL Image 96×96 RGB
sample["label"] # int 0–9