lvis

  • Keterangan :

LVIS: Kumpulan data untuk segmentasi contoh kosakata besar.

Membelah Contoh
'minival' 4.809
'test' 19.822
'train' 100.170
'validation' 19.809
  • Struktur fitur :
FeaturesDict({
   
'image': Image(shape=(None, None, 3), dtype=uint8),
   
'image/id': int64,
   
'neg_category_ids': Sequence(ClassLabel(shape=(), dtype=int64, num_classes=1203)),
   
'not_exhaustive_category_ids': Sequence(ClassLabel(shape=(), dtype=int64, num_classes=1203)),
   
'objects': Sequence({
       
'area': int64,
       
'bbox': BBoxFeature(shape=(4,), dtype=float32),
       
'id': int64,
       
'label': ClassLabel(shape=(), dtype=int64, num_classes=1203),
       
'segmentation': Image(shape=(None, None, 1), dtype=uint8),
   
}),
})
  • Dokumentasi fitur :
Fitur Kelas Membentuk Tipe D Keterangan
FiturDict
gambar Gambar (Tidak ada, Tidak ada, 3) uint8
gambar/id Tensor int64
neg_category_ids Urutan (Label Kelas) (Tidak ada,) int64
not_exhaustive_category_ids Urutan (Label Kelas) (Tidak ada,) int64
objek Urutan
benda/daerah Tensor int64
objek/bbox Fitur BBox (4,) float32
objek/id Tensor int64
benda/label Label Kelas int64
objek/segmentasi Gambar (Tidak ada, Tidak ada, 1) uint8

Visualisasi

  • Kutipan :
@inproceedings{gupta2019lvis,
  title
={ {LVIS}: A Dataset for Large Vocabulary Instance Segmentation},
  author
={Gupta, Agrim and Dollar, Piotr and Girshick, Ross},
  booktitle
={Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition},
  year
={2019}
}