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DOTA Aerial Image Object Detection

Oriented bounding box detection in aerial images (Xia et al., CVPR 2018). Detect 15 object categories with arbitrary orientations including planes, ships, vehicles, and sports facilities.

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配置文件config.yaml

# DOTA Aerial Image Object Detection Configuration
# Based on Xia et al., CVPR 2018

annotation_task_name: "DOTA Aerial Object Detection"
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: "object_classes"
    description: "Select all object classes visible"
    labels:
      - name: "plane"
        tooltip: "Airplanes"
      - name: "ship"
        tooltip: "Ships and vessels"
      - name: "storage_tank"
        tooltip: "Storage tanks"
      - name: "baseball_diamond"
        tooltip: "Baseball diamonds"
      - name: "tennis_court"
        tooltip: "Tennis courts"
      - name: "basketball_court"
        tooltip: "Basketball courts"
      - name: "ground_track_field"
        tooltip: "Running tracks"
      - name: "harbor"
        tooltip: "Harbors"
      - name: "bridge"
        tooltip: "Bridges"
      - name: "large_vehicle"
        tooltip: "Large vehicles (trucks, buses)"
      - name: "small_vehicle"
        tooltip: "Small vehicles (cars)"
      - name: "helicopter"
        tooltip: "Helicopters"
      - name: "roundabout"
        tooltip: "Roundabouts"
      - name: "soccer_field"
        tooltip: "Soccer fields"
      - name: "swimming_pool"
        tooltip: "Swimming pools"

  - annotation_type: "radio"
    name: "difficulty"
    description: "Annotation difficulty"
    labels:
      - name: "easy"
        tooltip: "Clear, large objects"
      - name: "difficult"
        tooltip: "Small, occluded, or crowded"

  - annotation_type: "text"
    name: "oriented_bbox"
    description: "Oriented bounding box: x1,y1,x2,y2,x3,y3,x4,y4,class,difficulty"

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"

示例数据sample-data.json

[
  {
    "id": "dota_001",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/10/Empire_State_Building_%28aerial_view%29.jpg/800px-Empire_State_Building_%28aerial_view%29.jpg",
    "context": "Aerial image. Detect objects with oriented bounding boxes. Objects may appear at any angle."
  },
  {
    "id": "dota_002",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/1e/San_Francisco_from_the_Marin_Headlands_in_March_2019.jpg/1200px-San_Francisco_from_the_Marin_Headlands_in_March_2019.jpg",
    "context": "Aerial view. Mark all DOTA categories: planes, ships, vehicles, sports facilities, etc."
  }
]

// ... and 1 more items

获取此设计

View on GitHub

Clone or download from the repository

快速开始：

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

详情

标注类型

multiselectradiotext

领域

Remote SensingAerial Imagery

应用场景

Object DetectionOriented DetectionAerial Analysis

标签

dotaaerialoriented-bboxremote-sensingcvpr2018

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