~10 million images from LAION Aesthetics v2, with aesthetic score > 5.5, probability of watermark < 0.95, and image megapixels > 1.05
Gathered using the following script
from datasets import load_dataset
import os
def filt(row):
w = row["WIDTH"]
h = row["HEIGHT"]
p = row["pwatermark"]
a = row["AESTHETIC_SCORE"]
if w is None or h is None orp is None:
return False
return (w * h >= 1024*1024) and p <= 0.95 and a > 5.5
