- Deskripsi :
COCO adalah pendeteksian objek, segmentasi, dan kumpulan data teks berskala besar.
Beranda : http://cocodataset.org/#home
Kode sumber :
tfds.object_detection.Coco
Versi :
-
1.1.0
(default): Tidak ada catatan rilis.
-
Ukuran kumpulan data :
Unknown size
Cache otomatis ( dokumentasi ): Tidak diketahui
Kunci yang diawasi (Lihat
as_supervised
doc ):None
Kutipan :
@article{DBLP:journals/corr/LinMBHPRDZ14,
author = {Tsung{-}Yi Lin and
Michael Maire and
Serge J. Belongie and
Lubomir D. Bourdev and
Ross B. Girshick and
James Hays and
Pietro Perona and
Deva Ramanan and
Piotr Doll{'{a} }r and
C. Lawrence Zitnick},
title = {Microsoft {COCO:} Common Objects in Context},
journal = {CoRR},
volume = {abs/1405.0312},
year = {2014},
url = {http://arxiv.org/abs/1405.0312},
archivePrefix = {arXiv},
eprint = {1405.0312},
timestamp = {Mon, 13 Aug 2018 16:48:13 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/LinMBHPRDZ14},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
coco / 2014 (konfigurasi default)
Deskripsi konfigurasi : Versi ini berisi gambar, kotak pembatas, dan label untuk versi 2014.
Ukuran unduhan :
37.57 GiB
Split :
Membagi | Contoh |
---|---|
'test' | 40.775 |
'test2015' | 81.434 |
'train' | 82.783 |
'validation' | 40.504 |
- Fitur :
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=tf.uint8),
'image/filename': Text(shape=(), dtype=tf.string),
'image/id': tf.int64,
'objects': Sequence({
'area': tf.int64,
'bbox': BBoxFeature(shape=(4,), dtype=tf.float32),
'id': tf.int64,
'is_crowd': tf.bool,
'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=80),
}),
})
- Gambar ( tfds.show_examples ):
- Contoh ( tfds.as_dataframe ):
coco / 2017
Deskripsi konfigurasi : Versi ini berisi gambar, kotak pembatas, dan label untuk versi 2017.
Ukuran unduhan :
25.20 GiB
Split :
Membagi | Contoh |
---|---|
'test' | 40.670 |
'train' | 118.287 |
'validation' | 5.000 |
- Fitur :
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=tf.uint8),
'image/filename': Text(shape=(), dtype=tf.string),
'image/id': tf.int64,
'objects': Sequence({
'area': tf.int64,
'bbox': BBoxFeature(shape=(4,), dtype=tf.float32),
'id': tf.int64,
'is_crowd': tf.bool,
'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=80),
}),
})
- Gambar ( tfds.show_examples ):
- Contoh ( tfds.as_dataframe ):
coco / 2017_panoptic
Deskripsi konfigurasi : Versi ini berisi gambar, kotak pembatas, dan label untuk versi 2017.
Ukuran unduhan :
19.57 GiB
Split :
Membagi | Contoh |
---|---|
'train' | 118.287 |
'validation' | 5.000 |
- Fitur :
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=tf.uint8),
'image/filename': Text(shape=(), dtype=tf.string),
'image/id': tf.int64,
'panoptic_image': Image(shape=(None, None, 3), dtype=tf.uint8),
'panoptic_image/filename': Text(shape=(), dtype=tf.string),
'panoptic_objects': Sequence({
'area': tf.int64,
'bbox': BBoxFeature(shape=(4,), dtype=tf.float32),
'id': tf.int64,
'is_crowd': tf.bool,
'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=133),
}),
})
Gambar ( tfds.show_examples ): Tidak didukung.
Contoh ( tfds.as_dataframe ):