waymo_open_dataset

Kumpulan Data Terbuka Waymo terdiri dari data sensor beresolusi tinggi yang dikumpulkan oleh mobil self-driving Waymo dalam berbagai kondisi. Data ini dilisensikan untuk penggunaan non-komersial.

FeaturesDict({
    'camera_FRONT': FeaturesDict({
        'image': Image(shape=(1280, 1920, 3), dtype=uint8),
        'labels': Sequence({
            'bbox': BBoxFeature(shape=(4,), dtype=float32),
            'type': ClassLabel(shape=(), dtype=int64, num_classes=5),
        }),
    }),
    'camera_FRONT_LEFT': FeaturesDict({
        'image': Image(shape=(1280, 1920, 3), dtype=uint8),
        'labels': Sequence({
            'bbox': BBoxFeature(shape=(4,), dtype=float32),
            'type': ClassLabel(shape=(), dtype=int64, num_classes=5),
        }),
    }),
    'camera_FRONT_RIGHT': FeaturesDict({
        'image': Image(shape=(1280, 1920, 3), dtype=uint8),
        'labels': Sequence({
            'bbox': BBoxFeature(shape=(4,), dtype=float32),
            'type': ClassLabel(shape=(), dtype=int64, num_classes=5),
        }),
    }),
    'camera_SIDE_LEFT': FeaturesDict({
        'image': Image(shape=(886, 1920, 3), dtype=uint8),
        'labels': Sequence({
            'bbox': BBoxFeature(shape=(4,), dtype=float32),
            'type': ClassLabel(shape=(), dtype=int64, num_classes=5),
        }),
    }),
    'camera_SIDE_RIGHT': FeaturesDict({
        'image': Image(shape=(886, 1920, 3), dtype=uint8),
        'labels': Sequence({
            'bbox': BBoxFeature(shape=(4,), dtype=float32),
            'type': ClassLabel(shape=(), dtype=int64, num_classes=5),
        }),
    }),
    'context': FeaturesDict({
        'name': Text(shape=(), dtype=string),
    }),
    'timestamp_micros': int64,
})
  • Dokumentasi fitur :
Fitur Kelas Membentuk Dtype Keterangan
fiturDict
kamera_FRONT fiturDict
kamera_FRONT/gambar Gambar (1280, 1920, 3) uint8
kamera_FRONT/label Urutan
kamera_FRONT/label/bbox Fitur BBox (4,) float32
camera_FRONT/labels/type LabelKelas int64
kamera_FRONT_LEFT fiturDict
kamera_FRONT_LEFT/gambar Gambar (1280, 1920, 3) uint8
kamera_FRONT_LEFT/label Urutan
kamera_FRONT_LEFT/label/bbox Fitur BBox (4,) float32
kamera_FRONT_LEFT/label/tipe LabelKelas int64
kamera_FRONT_RIGHT fiturDict
kamera_FRONT_RIGHT/gambar Gambar (1280, 1920, 3) uint8
kamera_FRONT_RIGHT/label Urutan
camera_FRONT_RIGHT/labels/bbox Fitur BBox (4,) float32
camera_FRONT_RIGHT/labels/type LabelKelas int64
kamera_SIDE_LEFT fiturDict
kamera_SIDE_LEFT/gambar Gambar (886, 1920, 3) uint8
kamera_SIDE_LEFT/label Urutan
kamera_SIDE_LEFT/label/bbox Fitur BBox (4,) float32
kamera_SIDE_LEFT/label/tipe LabelKelas int64
kamera_SISI_KANAN fiturDict
kamera_SIDE_KANAN/gambar Gambar (886, 1920, 3) uint8
kamera_SIDE_KANAN/label Urutan
kamera_SIDE_KANAN/label/bbox Fitur BBox (4,) float32
camera_SIDE_RIGHT/labels/type LabelKelas int64
konteks fiturDict
konteks/nama Teks rangkaian
timestamp_micros Tensor int64
@InProceedings{Sun_2020_CVPR,
author = {Sun, Pei and Kretzschmar, Henrik and Dotiwalla, Xerxes and Chouard, Aurelien and Patnaik, Vijaysai and Tsui, Paul and Guo, James and Zhou, Yin and Chai, Yuning and Caine, Benjamin and Vasudevan, Vijay and Han, Wei and Ngiam, Jiquan and Zhao, Hang and Timofeev, Aleksei and Ettinger, Scott and Krivokon, Maxim and Gao, Amy and Joshi, Aditya and Zhang, Yu and Shlens, Jonathon and Chen, Zhifeng and Anguelov, Dragomir},
title = {Scalability in Perception for Autonomous Driving: Waymo Open Dataset},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

waymo_open_dataset/v1.2 (konfigurasi default)

  • Deskripsi konfigurasi : Waymo Open Dataset v1.2

  • Ukuran dataset : 336.62 GiB

  • Perpecahan :

Membelah Contoh
'train' 158.081
'validation' 39.987

waymo_open_dataset/v1.1

  • Deskripsi konfigurasi : Waymo Open Dataset v1.1

  • Ukuran dataset : 336.62 GiB

  • Perpecahan :

Membelah Contoh
'train' 158.081
'validation' 39.987

waymo_open_dataset/v1.0

  • Deskripsi Config : Waymo Open Dataset v1.0 Dataset ini juga tersedia dalam format yang telah diproses sebelumnya, membuatnya lebih cepat dimuat, jika Anda memilih data_dir yang benar:
tfds.load('waymo_open_dataset/v1.0', data_dir='gs://waymo_open_dataset_v_1_0_0_individual_files/tensorflow_datasets')
  • Ukuran dataset : 34.73 GiB

  • Perpecahan :

Membelah Contoh
'train' 14.884
'validation' 4.954