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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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कॉन्फ़िगरेशन फ़ाइलconfig.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"

नमूना डेटाsample-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

यह डिज़ाइन प्राप्त करें

View on GitHub

Clone or download from the repository

Quick start:

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

विवरण

एनोटेशन प्रकार

multiselectradiotext

डोमेन

Remote SensingAerial Imagery

उपयोग के मामले

Object DetectionOriented DetectionAerial Analysis

टैग

dotaaerialoriented-bboxremote-sensingcvpr2018

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