selebriti_a

  • Keterangan :

Kumpulan Data Atribut CelebFaces (CelebA) adalah kumpulan data atribut wajah berskala besar dengan lebih dari 200 ribu gambar selebriti, masing-masing dengan 40 anotasi atribut. Gambar dalam kumpulan data ini mencakup variasi pose yang besar dan latar belakang yang berantakan. CelebA memiliki keragaman yang besar, jumlah yang besar, dan anotasi yang kaya, termasuk - 10.177 jumlah identitas, - 202.599 jumlah gambar wajah, dan - 5 lokasi landmark, 40 anotasi atribut biner per gambar.

Kumpulan data dapat digunakan sebagai kumpulan pelatihan dan pengujian untuk tugas visi komputer berikut: pengenalan atribut wajah, deteksi wajah, dan lokalisasi landmark (atau bagian wajah).

Membelah Contoh
'test' 19.962
'train' 162.770
'validation' 19.867
  • Struktur fitur :
FeaturesDict({
    'attributes': FeaturesDict({
        '5_o_Clock_Shadow': bool,
        'Arched_Eyebrows': bool,
        'Attractive': bool,
        'Bags_Under_Eyes': bool,
        'Bald': bool,
        'Bangs': bool,
        'Big_Lips': bool,
        'Big_Nose': bool,
        'Black_Hair': bool,
        'Blond_Hair': bool,
        'Blurry': bool,
        'Brown_Hair': bool,
        'Bushy_Eyebrows': bool,
        'Chubby': bool,
        'Double_Chin': bool,
        'Eyeglasses': bool,
        'Goatee': bool,
        'Gray_Hair': bool,
        'Heavy_Makeup': bool,
        'High_Cheekbones': bool,
        'Male': bool,
        'Mouth_Slightly_Open': bool,
        'Mustache': bool,
        'Narrow_Eyes': bool,
        'No_Beard': bool,
        'Oval_Face': bool,
        'Pale_Skin': bool,
        'Pointy_Nose': bool,
        'Receding_Hairline': bool,
        'Rosy_Cheeks': bool,
        'Sideburns': bool,
        'Smiling': bool,
        'Straight_Hair': bool,
        'Wavy_Hair': bool,
        'Wearing_Earrings': bool,
        'Wearing_Hat': bool,
        'Wearing_Lipstick': bool,
        'Wearing_Necklace': bool,
        'Wearing_Necktie': bool,
        'Young': bool,
    }),
    'identity': FeaturesDict({
        'Identity_No': int64,
    }),
    'image': Image(shape=(218, 178, 3), dtype=uint8),
    'landmarks': FeaturesDict({
        'lefteye_x': int64,
        'lefteye_y': int64,
        'leftmouth_x': int64,
        'leftmouth_y': int64,
        'nose_x': int64,
        'nose_y': int64,
        'righteye_x': int64,
        'righteye_y': int64,
        'rightmouth_x': int64,
        'rightmouth_y': int64,
    }),
})
  • Dokumentasi fitur :
Fitur Kelas Membentuk Tipe D Keterangan
FiturDict
atribut FiturDict
atribut/5_o_Clock_Shadow Tensor bodoh
atribut/Arched_Eyebrows Tensor bodoh
atribut/Menarik Tensor bodoh
atribut/Bags_Under_Eyes Tensor bodoh
atribut/Botak Tensor bodoh
atribut/poni Tensor bodoh
atribut/Bibir_Besar Tensor bodoh
atribut/Hidung_Besar Tensor bodoh
atribut/Hitam_Rambut Tensor bodoh
atribut/Blond_Hair Tensor bodoh
atribut/Buram Tensor bodoh
atribut/Brown_Hair Tensor bodoh
atribut/Bushy_Eyebrows Tensor bodoh
atribut/Gemuk Tensor bodoh
atribut/Double_Chin Tensor bodoh
atribut/Kacamata Tensor bodoh
atribut/Jenggot Tensor bodoh
atribut/Gray_Hair Tensor bodoh
atribut/Heavy_Makeup Tensor bodoh
atribut/High_Cheekbones Tensor bodoh
atribut/Laki-laki Tensor bodoh
atribut/Mulut_Sedikit_Terbuka Tensor bodoh
atribut/Kumis Tensor bodoh
atribut/Narrow_Eyes Tensor bodoh
atribut/No_Beard Tensor bodoh
atribut/Oval_Wajah Tensor bodoh
atribut/Pale_Skin Tensor bodoh
atribut/Runcing_Hidung Tensor bodoh
atribut/Receding_Hairline Tensor bodoh
atribut/Rosy_Cheeks Tensor bodoh
atribut/Cambang Tensor bodoh
atribut/Tersenyum Tensor bodoh
atribut/Rambut_Lurus Tensor bodoh
atribut/Wavy_Hair Tensor bodoh
atribut/Pakaian_Anting Tensor bodoh
atribut/Memakai_Topi Tensor bodoh
atribut/Memakai_Lipstik Tensor bodoh
atribut/Memakai_Kalung Tensor bodoh
atribut/Wearing_Dasi Tensor bodoh
atribut/Muda Tensor bodoh
identitas FiturDict
identitas/Identitas_No Tensor int64
gambar Gambar (218, 178, 3) uint8
landmark FiturDict
landmark/lefteye_x Tensor int64
landmark/mata kiri_y Tensor int64
landmark/leftmouth_x Tensor int64
landmark/leftmouth_y Tensor int64
landmark/hidung_x Tensor int64
landmark/hidung_y Tensor int64
landmark/mata kanan_x Tensor int64
landmark/mata kanan_y Tensor int64
landmark/rightmouth_x Tensor int64
landmark/rightmouth_y Tensor int64

Visualisasi

  • Kutipan :
@inproceedings{conf/iccv/LiuLWT15,
  added-at = {2018-10-09T00:00:00.000+0200},
  author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
  biburl = {https://www.bibsonomy.org/bibtex/250e4959be61db325d2f02c1d8cd7bfbb/dblp},
  booktitle = {ICCV},
  crossref = {conf/iccv/2015},
  ee = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2015.425},
  interhash = {3f735aaa11957e73914bbe2ca9d5e702},
  intrahash = {50e4959be61db325d2f02c1d8cd7bfbb},
  isbn = {978-1-4673-8391-2},
  keywords = {dblp},
  pages = {3730-3738},
  publisher = {IEEE Computer Society},
  timestamp = {2018-10-11T11:43:28.000+0200},
  title = {Deep Learning Face Attributes in the Wild.},
  url = {http://dblp.uni-trier.de/db/conf/iccv/iccv2015.html#LiuLWT15},
  year = 2015
}