metadata
dataset_info:
features:
- name: index_num
dtype: int64
- name: filename
dtype: string
- name: s3_uri
dtype: string
- name: pixiv__pid
dtype: int32
- name: clip__clip_aesthetic
dtype: float32
- name: pixiv__likeCount
dtype: float64
- name: pixiv__viewCount
dtype: float64
- name: pixiv__bookmarkCount
dtype: float64
- name: pixiv__aiType
dtype: float64
- name: pixiv__compound_score
dtype: float32
- name: caption
struct:
- name: alternate_tags_mid
sequence: string
- name: tags_back
dtype: string
- name: tags_front
dtype: string
- name: tags_front_fixed
dtype: string
- name: tags_mid
dtype: string
- name: aigccls__aigc_pred
dtype: string
- name: aigccls__is_likely-ai
dtype: bool
- name: dset__pixels
dtype: float64
- name: dset__from
dtype: string
- name: danbooru_id
dtype: float64
- name: danbooru__up_score
dtype: float32
- name: danbooru__down_score
dtype: float32
- name: danbooru__fav_count
dtype: float32
- name: danbooru__is_banned
dtype: bool
- name: danbooru__tag_string_artist
dtype: string
- name: danbooru__tag_string_character
dtype: string
- name: clip__twitter_aesthetic_v2
dtype: float32
- name: comps__comp_score_pred
dtype: float32
- name: resized__resized_s3_uri
dtype: string
- name: clip_aesthetic_2_5
dtype: float32
- name: danbooru__quality_tag
dtype: string
- name: twitter__favorite_count
dtype: float64
- name: twitter__hashtags
dtype: string
- name: twitter__compound_score
dtype: float64
- name: twitter__quality_tag
dtype: string
- name: dset__quality_tag
dtype: string
- name: dset__artist_occurence_count
dtype: int64
- name: dset__row_cap_dict
struct:
- name: _resolution_tag
dtype: string
- name: _time_tag
dtype: string
- name: dset__artist_occurence_count
dtype: float64
- name: quality
dtype: string
- name: rating
dtype: string
- name: tag_str_artist
dtype: string
- name: tag_str_character
dtype: string
- name: tag_str_copyright
dtype: string
- name: tag_str_general
dtype: string
- name: tag_str_meta
dtype: string
- name: twi_logfav_convbase__score
dtype: float64
- name: edge_density
dtype: float64
- name: focus_measure
dtype: float64
- name: texture_score
dtype: float64
- name: noise_level
dtype: float64
- name: noise_level_lap
dtype: float64
- name: saturation
dtype: float64
- name: contrast
dtype: float64
- name: brightness
dtype: float64
- name: avg_dynamic_range
dtype: float64
- name: filter1_kept
dtype: bool
- name: filter2_kept
dtype: bool
- name: filter3_kept
dtype: bool
- name: openpose__max_total_parts
dtype: float64
- name: openpose__max_parts_score
dtype: float64
splits:
- name: train
num_bytes: 112153557
num_examples: 55528
download_size: 45444791
dataset_size: 112153557
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
A sample dataset for training various image classifiers with weak supervision.
data curated from full pixiv/danbooru/twitter of over 22M pool