Performance

Performance

Perfectly Masked

We manually evaluated this model. So we should make a rule.

• Rule 1. When it classified an item as wrong, FALSE
• Rule 2. When it masked item below 50%, FALSE

Set of clothes

We checked whether image has both upper and lower or whole.

    upper = 0
    lower = 0
    whole = 0
    for x in r['class_ids']:
        t = x-1
        if t<5:
            upper += 1
        elif t<9:
            lower += 1
        elif t<13:
            whole += 1
    if whole>0 or (upper>0 and lower>0):
        data.append(r)
        url_data.append(url)