eungyukm/nima_finetuned
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End of preview. Expand
in Data Studio
๐ท Image Manual Label Dataset
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.
๐งพ ๋ฐ์ดํฐ์ ๊ตฌ์ฑ
| ์ปฌ๋ผ๋ช | ์ค๋ช |
|---|---|
| image_name | ์ด๋ฏธ์ง ํ์ผ ์ด๋ฆ |
| score | ์๋์ผ๋ก ๋ถ์ฌํ ๋ฏธํ์ ์ ์ (1~10) |
| image | ์ค์ ์ด๋ฏธ์ง ๋ฐ์ดํฐ (PIL Image) |
๐ก ์ฌ์ฉ ์์
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()
- Downloads last month
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Size of downloaded dataset files:
137 MB
Size of the auto-converted Parquet files:
137 MB
Number of rows:
3,186
Models trained or fine-tuned on eungyukm/image-manual-label