BDD100K Autonomous Driving Segmentation

Large-scale diverse driving video dataset (Yu et al., CVPR 2020). Annotate driving scenes with bounding boxes, lane markings, drivable areas, and full-frame instance segmentation.

Fichier de configurationconfig.yaml

# BDD100K Autonomous Driving Segmentation Configuration
# Based on Yu et al., CVPR 2020

annotation_task_name: "BDD100K Driving Scene Annotation"
task_dir: "."

data_files:
  - "sample-data.json"

item_properties:
  id_key: "id"
  text_key: "image_url"
  context_key: "context"

user_config:
  allow_all_users: true

annotation_schemes:
  - annotation_type: "multiselect"
    name: "objects"
    description: "Select all object types visible"
    labels:
      - name: "pedestrian"
        tooltip: "People walking"
      - name: "rider"
        tooltip: "Person on bike/motorcycle"
      - name: "car"
        tooltip: "Cars"
      - name: "truck"
        tooltip: "Trucks"
      - name: "bus"
        tooltip: "Buses"
      - name: "train"
        tooltip: "Trains"
      - name: "motorcycle"
        tooltip: "Motorcycles"
      - name: "bicycle"
        tooltip: "Bicycles"
      - name: "traffic_light"
        tooltip: "Traffic lights"
      - name: "traffic_sign"
        tooltip: "Traffic signs"

  - annotation_type: "multiselect"
    name: "lane_markings"
    description: "Select lane marking types"
    labels:
      - name: "road_curb"
        tooltip: "Road curb/edge"
      - name: "double_white"
        tooltip: "Double white lines"
      - name: "double_yellow"
        tooltip: "Double yellow lines"
      - name: "single_white"
        tooltip: "Single white line"
      - name: "single_yellow"
        tooltip: "Single yellow line"
      - name: "crosswalk"
        tooltip: "Crosswalk markings"

  - annotation_type: "multiselect"
    name: "drivable_area"
    description: "Select drivable area types"
    labels:
      - name: "direct"
        tooltip: "Directly drivable (same direction)"
      - name: "alternative"
        tooltip: "Alternatively drivable (lane change possible)"

  - annotation_type: "radio"
    name: "weather"
    description: "Weather condition"
    labels:
      - name: "clear"
        tooltip: "Clear weather"
      - name: "partly_cloudy"
        tooltip: "Partly cloudy"
      - name: "overcast"
        tooltip: "Overcast"
      - name: "rainy"
        tooltip: "Rainy"
      - name: "snowy"
        tooltip: "Snowy"
      - name: "foggy"
        tooltip: "Foggy"

  - annotation_type: "radio"
    name: "scene"
    description: "Scene type"
    labels:
      - name: "city_street"
        tooltip: "City street"
      - name: "highway"
        tooltip: "Highway"
      - name: "residential"
        tooltip: "Residential area"
      - name: "parking_lot"
        tooltip: "Parking lot"
      - name: "tunnel"
        tooltip: "Tunnel"

  - annotation_type: "radio"
    name: "time_of_day"
    description: "Time of day"
    labels:
      - name: "daytime"
        tooltip: "Daytime"
      - name: "dawn_dusk"
        tooltip: "Dawn or dusk"
      - name: "night"
        tooltip: "Nighttime"

interface_config:
  item_display_format: "<img src='{{text}}' style='max-width:100%; max-height:500px;'/><br/><small>{{context}}</small>"

output_annotation_format: "json"
output_annotation_dir: "annotations"

Données d'exemplesample-data.json

[
  {
    "id": "bdd_001",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/Spyker_C8_Spyder.jpg/1200px-Spyker_C8_Spyder.jpg",
    "context": "Driving scene from dash cam. Annotate objects, lane markings, drivable areas, weather, and time of day."
  },
  {
    "id": "bdd_002",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/9/9e/Frankfurt_Skyline.jpg/1200px-Frankfurt_Skyline.jpg",
    "context": "Urban driving scene. Mark vehicles, pedestrians, traffic signs, and lane markings."
  }
]

// ... and 1 more items

Obtenir ce design

View on GitHub

Clone or download from the repository

Démarrage rapide :

git clone https://github.com/davidjurgens/potato-showcase.git
cd potato-showcase/image/driving/bdd100k
potato start config.yaml

Détails

Types d'annotation

multiselectradio

Domaine

Computer VisionAutonomous Driving

Cas d'utilisation

Object DetectionLane DetectionDrivable Area Segmentation

Étiquettes

bdd100kdrivingautonomous-vehiclesegmentationcvpr2020

Vous avez trouvé un problème ou souhaitez améliorer ce design ?

Ouvrir un ticket

Designs associés

KITTI Road Object Detection

Autonomous driving benchmark for object detection (Geiger et al., CVPR 2012). Annotate vehicles, pedestrians, and cyclists with 3D bounding boxes and occlusion/truncation labels.

multiselectradio

ADE20K Semantic Segmentation

Comprehensive scene parsing with 150 semantic categories (Zhou et al., CVPR 2017). Annotate indoor and outdoor scenes with pixel-level labels covering objects, parts, and stuff classes.

multiselectradio

CUB-200-2011 Fine-Grained Bird Classification

Fine-grained visual categorization of 200 bird species (Wah et al., 2011). Annotate bird images with species labels, part locations, and attribute annotations.

multiselectradio