size_categories:100K<n<1M format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image_name
    dtype: string
  - name: split
    dtype: string
  - name: image
    dtype: image
  - name: Female
    dtype: uint8
  - name: AgeOver60
    dtype: uint8
  - name: Age18-60
    dtype: uint8
  - name: AgeLess18
    dtype: uint8
  - name: Front
    dtype: uint8
  - name: Side
    dtype: uint8
  - name: Back
    dtype: uint8
  - name: Hat
    dtype: uint8
  - name: Glasses
    dtype: uint8
  - name: HandBag
    dtype: uint8
  - name: ShoulderBag
    dtype: uint8
  - name: Backpack
    dtype: uint8
  - name: HoldObjectsInFront
    dtype: uint8
  - name: ShortSleeve
    dtype: uint8
  - name: LongSleeve
    dtype: uint8
  - name: UpperStride
    dtype: uint8
  - name: UpperLogo
    dtype: uint8
  - name: UpperPlaid
    dtype: uint8
  - name: UpperSplice
    dtype: uint8
  - name: LowerStripe
    dtype: uint8
  - name: LowerPattern
    dtype: uint8
  - name: LongCoat
    dtype: uint8
  - name: Trousers
    dtype: uint8
  - name: Shorts
    dtype: uint8
  - name: Skirt&Dress
    dtype: uint8
  - name: boots
    dtype: uint8
  splits:
  - name: train
    num_bytes: 364926960.0
    num_examples: 80000
  - name: test
    num_bytes: 36224190.0
    num_examples: 10000
  - name: val
    num_bytes: 49278000.0
    num_examples: 10000
  download_size: 441301970
  dataset_size: 450429150.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: val
    path: data/val-*
---
