eungyukm/nima_finetuned
Updated
image_name stringlengths 14 14 | score float32 1 9 | image imagewidth (px) 107 2.56k |
|---|---|---|
image_0001.jpg | 9 | |
image_0002.jpg | 9 | |
image_0003.jpg | 2 | |
image_0004.jpg | 4 | |
image_0005.jpg | 2 | |
image_0006.jpg | 7 | |
image_0007.jpg | 6 | |
image_0008.jpg | 7 | |
image_0009.jpg | 5 | |
image_0010.jpg | 7 | |
image_0011.jpg | 3 | |
image_0012.jpg | 7 | |
image_0013.jpg | 3 | |
image_0014.jpg | 8 | |
image_0015.jpg | 6 | |
image_0016.jpg | 7 | |
image_0017.jpg | 6 | |
image_0018.jpg | 6 | |
image_0019.jpg | 6 | |
image_0020.jpg | 7 | |
image_0021.jpg | 7 | |
image_0022.jpg | 7 | |
image_0023.jpg | 7 | |
image_0024.jpg | 8 | |
image_0025.jpg | 8 | |
image_0026.jpg | 9 | |
image_0027.jpg | 6 | |
image_0028.jpg | 7 | |
image_0029.jpg | 4 | |
image_0030.jpg | 7 | |
image_0031.jpg | 8 | |
image_0032.jpg | 2 | |
image_0033.jpg | 6 | |
image_0034.jpg | 7 | |
image_0035.jpg | 8 | |
image_0036.jpg | 4 | |
image_0037.jpg | 3 | |
image_0038.jpg | 7 | |
image_0039.jpg | 4 | |
image_0040.jpg | 6 | |
image_0041.jpg | 8 | |
image_0042.jpg | 3 | |
image_0043.jpg | 4 | |
image_0044.jpg | 3 | |
image_0045.jpg | 8 | |
image_0046.jpg | 3 | |
image_0047.jpg | 3 | |
image_0048.jpg | 8 | |
image_0049.jpg | 2 | |
image_0050.jpg | 6 | |
image_0051.jpg | 6 | |
image_0052.jpg | 3 | |
image_0053.jpg | 3 | |
image_0054.jpg | 8 | |
image_0055.jpg | 5 | |
image_0056.jpg | 5 | |
image_0057.jpg | 8 | |
image_0058.jpg | 9 | |
image_0059.jpg | 8 | |
image_0060.jpg | 5 | |
image_0061.jpg | 3 | |
image_0062.jpg | 2 | |
image_0063.jpg | 8 | |
image_0064.jpg | 9 | |
image_0065.jpg | 8 | |
image_0066.jpg | 2 | |
image_0067.jpg | 2 | |
image_0068.jpg | 3 | |
image_0069.jpg | 8 | |
image_0070.jpg | 7 | |
image_0071.jpg | 8 | |
image_0072.jpg | 9 | |
image_0073.jpg | 8 | |
image_0074.jpg | 8 | |
image_0075.jpg | 9 | |
image_0076.jpg | 9 | |
image_0077.jpg | 7 | |
image_0078.jpg | 8 | |
image_0079.jpg | 3 | |
image_0080.png | 3 | |
image_0081.jpg | 9 | |
image_0082.jpg | 2 | |
image_0083.jpg | 3 | |
image_0084.jpg | 2 | |
image_0085.jpg | 2 | |
image_0086.jpg | 2 | |
image_0087.jpg | 3 | |
image_0088.jpg | 8 | |
image_0089.jpg | 7 | |
image_0090.jpg | 8 | |
image_0091.jpg | 7 | |
image_0092.jpg | 6 | |
image_0093.jpg | 5 | |
image_0094.png | 2 | |
image_0095.jpg | 2 | |
image_0096.jpg | 8 | |
image_0097.jpg | 4 | |
image_0098.jpg | 3 | |
image_0099.jpg | 8 | |
image_0100.jpg | 9 |
eungyukm/image-manual-label์ ์ฌ๋์ด ์ง์ ์ด๋ฏธ์ง์ ๋ํด 1์ ๋ถํฐ 10์ ๊น์ง ๋ฏธ์ (๋ฏธํ) ๊ธฐ์ค์ผ๋ก ์๋์ผ๋ก ์ ์๋ฅผ ๋ถ์ฌํ ์ด๋ฏธ์ง ํ๊ฐ ๋ฐ์ดํฐ์
์
๋๋ค.
์ฝ 3,000์ฅ์ ์ด๋ฏธ์ง์ ๋ํด ์ฃผ๊ด์ ๊ฐ์ฑ ๊ธฐ์ค์ผ๋ก ์ ์๋ฅผ ๋งค๊ฒผ์ผ๋ฉฐ, ํฅํ NIMA ๋ชจ๋ธ์ด๋ ๋ค์ํ ์ด๋ฏธ์ง ํ์ง/์ ํธ๋ ์์ธก ๋ชจ๋ธ์ ํ์ต ๋ฐ ํ์ธํ๋์ ํ์ฉํ ์ ์์ต๋๋ค.
| ์ปฌ๋ผ๋ช | ์ค๋ช |
|---|---|
| image_name | ์ด๋ฏธ์ง ํ์ผ ์ด๋ฆ |
| score | ์๋์ผ๋ก ๋ถ์ฌํ ๋ฏธํ์ ์ ์ (1~10) |
| image | ์ค์ ์ด๋ฏธ์ง ๋ฐ์ดํฐ (PIL Image) |
from datasets import load_dataset
# ๋ฐ์ดํฐ์
๋ก๋
dataset = load_dataset("eungyukm/image-manual-label")
sample = dataset["train"][0]
# ์ํ ์ถ๋ ฅ
print(sample)
# ์ด๋ฏธ์ง ์๊ฐํ
sample["image"].show()