Datasets:

MnLgt
/

scut-fbp5500

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Split (2)

train · 3.3k rows

beauty_score float32 1.03 4.7	race stringclasses 2 values	gender stringclasses 2 values	image_name stringlengths 7 10	has_landmarks bool 1 class
2.683333	Caucasian	Male	CM447.jpg	true
2.616667	Asian	Female	AF1185.jpg	true
1.933333	Asian	Male	AM688.jpg	true
2.5	Asian	Male	AM1052.jpg	true
2.816667	Caucasian	Male	CM523.jpg	true
3.983333	Asian	Female	AF933.jpg	true
2.15	Caucasian	Female	CF219.jpg	true
3.35	Asian	Female	AF13.jpg	true
2.833333	Asian	Female	AF1220.jpg	true
2.666667	Asian	Male	AM1381.jpg	true
2.516667	Asian	Female	AF781.jpg	true
2.716667	Asian	Female	AF60.jpg	true
2.7	Asian	Male	AM1083.jpg	true
2.8	Asian	Female	AF1204.jpg	true
2.55	Asian	Male	AM658.jpg	true
2.2	Asian	Male	AM290.jpg	true
2.516667	Asian	Male	AM1120.jpg	true
2.733333	Asian	Female	AF1999.jpg	true
3.166667	Asian	Male	AM1783.jpg	true
3.966667	Caucasian	Male	CM332.jpg	true
2.733333	Asian	Male	AM1844.jpg	true
3.216667	Asian	Female	AF1433.jpg	true
2.816667	Asian	Female	AF709.jpg	true
2.383333	Asian	Female	AF866.jpg	true
3	Caucasian	Female	CF447.jpg	true
1.566667	Asian	Female	AF6.jpg	true
3.366667	Caucasian	Male	CM683.jpg	true
2.883333	Asian	Male	AM285.jpg	true
3.133333	Asian	Female	AF1941.jpg	true
2.75	Caucasian	Female	CF371.jpg	true
3.05	Asian	Female	AF446.jpg	true
3.85	Asian	Female	AF1488.jpg	true
4.1	Asian	Male	AM1679.jpg	true
3.666667	Asian	Male	AM1731.jpg	true
2.35	Asian	Female	AF149.jpg	true
3.166667	Asian	Male	AM1529.jpg	true
2.1	Asian	Male	AM1334.jpg	true
3.083333	Asian	Male	AM1809.jpg	true
2.55	Asian	Male	AM295.jpg	true
3.066667	Asian	Female	AF1131.jpg	true
3.016667	Asian	Male	AM89.jpg	true
2.883333	Caucasian	Male	CM415.jpg	true
3.666667	Asian	Male	AM1766.jpg	true
3.05	Asian	Female	AF670.jpg	true
1.816667	Asian	Male	AM394.jpg	true
2.666667	Asian	Female	AF931.jpg	true
3.116667	Asian	Male	AM1869.jpg	true
2.7	Asian	Male	AM1309.jpg	true
3.683333	Caucasian	Male	CM562.jpg	true
4.216667	Caucasian	Female	CF735.jpg	true
2.766667	Caucasian	Female	CF530.jpg	true
2.3	Asian	Male	AM871.jpg	true
2.85	Asian	Female	AF1829.jpg	true
2.733333	Asian	Male	AM1194.jpg	true
3.316667	Caucasian	Female	CF626.jpg	true
2.183333	Asian	Male	AM435.jpg	true
3.916667	Asian	Female	AF1978.jpg	true
3.3	Caucasian	Female	CF291.jpg	true
3.966667	Asian	Female	AF1384.jpg	true
2.483333	Asian	Male	AM1347.jpg	true
4.066667	Asian	Male	AM1710.jpg	true
2.3	Asian	Male	AM624.jpg	true
1.7	Asian	Female	AF1946.jpg	true
3.116667	Asian	Female	AF542.jpg	true
3.316667	Asian	Male	AM1789.jpg	true
4.25	Asian	Female	AF1692.jpg	true
2.166667	Asian	Male	AM770.jpg	true
2.433333	Asian	Female	AF211.jpg	true
3.833333	Asian	Female	AF1527.jpg	true
2.683333	Caucasian	Female	CF439.jpg	true
3.416667	Caucasian	Male	CM490.jpg	true
2.133333	Asian	Male	AM344.jpg	true
2.5	Caucasian	Male	CM269.jpg	true
3.433333	Asian	Female	AF1517.jpg	true
2.833333	Caucasian	Male	CM100.jpg	true
3.183333	Asian	Female	AF3.jpg	true
2.583333	Asian	Male	AM158.jpg	true
2.3	Asian	Male	AM176.jpg	true
3.716667	Caucasian	Male	CM748.jpg	true
2.783333	Asian	Female	AF108.jpg	true
2.933333	Caucasian	Female	CF257.jpg	true
2.166667	Asian	Male	AM1276.jpg	true
2.8	Asian	Female	AF1642.jpg	true
4.183333	Caucasian	Female	CF586.jpg	true
2.016667	Caucasian	Male	CM326.jpg	true
3.733333	Asian	Male	AM1754.jpg	true
2.133333	Asian	Female	AF1223.jpg	true
2.766667	Asian	Female	AF874.jpg	true
2.883333	Asian	Male	AM1192.jpg	true
2.583333	Asian	Female	AF769.jpg	true
3.433333	Asian	Female	AF1464.jpg	true
1.95	Asian	Male	AM1176.jpg	true
3.066667	Asian	Male	AM37.jpg	true
2.433333	Caucasian	Male	CM356.jpg	true
3.966667	Asian	Female	AF1000.jpg	true
4.433333	Caucasian	Male	CM710.jpg	true
3.116667	Asian	Female	AF480.jpg	true
3.2	Caucasian	Male	CM457.jpg	true
3	Asian	Female	AF973.jpg	true
2.833333	Asian	Male	AM1560.jpg	true

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