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PASCAL VOC Object Detection

Bounding box object detection following the PASCAL Visual Object Classes challenge (Everingham et al., IJCV 2010). Annotate 20 object categories with axis-aligned bounding boxes.

Labels:outdoornatureurbanpeopleanimal+−

Configuration Fileconfig.yaml

This Potato config reproduces the annotation task. Save it as config.yaml and run potato start config.yaml to try it.

yaml
# PASCAL VOC Object Detection Configuration
# Based on Everingham et al., IJCV 2010

annotation_task_name: "PASCAL VOC 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_class"
    description: "Select all object classes present in the image"
    labels:
      # Vehicles
      - name: "aeroplane"
        tooltip: "Aircraft, planes"
      - name: "bicycle"
        tooltip: "Bicycles"
      - name: "boat"
        tooltip: "Boats, ships"
      - name: "bus"
        tooltip: "Buses"
      - name: "car"
        tooltip: "Cars, automobiles"
      - name: "motorbike"
        tooltip: "Motorcycles"
      - name: "train"
        tooltip: "Trains"
      # Indoor
      - name: "bottle"
        tooltip: "Bottles"
      - name: "chair"
        tooltip: "Chairs"
      - name: "diningtable"
        tooltip: "Dining tables"
      - name: "pottedplant"
        tooltip: "Potted plants"
      - name: "sofa"
        tooltip: "Sofas, couches"
      - name: "tvmonitor"
        tooltip: "TV monitors"
      # Animals
      - name: "bird"
        tooltip: "Birds"
      - name: "cat"
        tooltip: "Cats"
      - name: "cow"
        tooltip: "Cows"
      - name: "dog"
        tooltip: "Dogs"
      - name: "horse"
        tooltip: "Horses"
      - name: "sheep"
        tooltip: "Sheep"
      # Person
      - name: "person"
        tooltip: "People"

  - annotation_type: "radio"
    name: "difficulty"
    description: "Is the object difficult to detect?"
    labels:
      - name: "not_difficult"
        tooltip: "Object is clearly visible and easy to detect"
      - name: "difficult"
        tooltip: "Object is occluded, truncated, or hard to see"

  - annotation_type: "radio"
    name: "truncated"
    description: "Is the object truncated (partially outside image)?"
    labels:
      - name: "not_truncated"
        tooltip: "Object is fully visible in the image"
      - name: "truncated"
        tooltip: "Object extends beyond the image boundary"

  - annotation_type: "radio"
    name: "occluded"
    description: "Is the object occluded by another object?"
    labels:
      - name: "not_occluded"
        tooltip: "Object is not blocked by other objects"
      - name: "occluded"
        tooltip: "Object is partially hidden by other objects"

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"

Sample Datasample-data.json

json
[
  {
    "id": "voc_001",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/4d/Cat_November_2010-1a.jpg/1200px-Cat_November_2010-1a.jpg",
    "context": "Identify all objects in the image and mark their bounding boxes. Note if objects are truncated, occluded, or difficult to detect."
  },
  {
    "id": "voc_002",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/18/Dog_Breeds.jpg/1200px-Dog_Breeds.jpg",
    "context": "Mark all visible objects with bounding boxes. Indicate difficulty level for each object."
  }
]

// ... and 1 more items

Get This Design

View on GitHub

Clone or download from the repository

Quick start:

git clone https://github.com/davidjurgens/potato-showcase.git
cd potato-showcase/image/classification/pascal-voc
potato start config.yaml

Dataset & paper

Everingham et al., IJCV 2010

Official dataset ↗Read the paper ↗

Citation (BibTeX)

bibtex
@article{everingham2010pascal,
    title = "The {PASCAL} Visual Object Classes ({VOC}) Challenge",
    author = "Everingham, Mark  and Van Gool, Luc  and Williams, Christopher K. I.  and Winn, John  and Zisserman, Andrew",
    journal = "International Journal of Computer Vision",
    volume = "88",
    number = "2",
    pages = "303--338",
    year = "2010",
    publisher = "Springer",
    url = "https://link.springer.com/article/10.1007/s11263-009-0275-4"
}

Details

Annotation Types

multiselectradio

Domain

Computer VisionObject Detection

Use Cases

Object DetectionImage Classification

Tags

pascal-vocobject-detectionbounding-boxijcv2010benchmark

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