CHART-Infographics: Chart and Infographic Analysis

# CHART-Infographics: Chart and Infographic Analysis
# Based on Davila et al., ICPR 2024
# Paper: https://link.springer.com/chapter/10.1007/978-3-031-78312-8_5
#
# Chart and infographic understanding requires identifying structural elements
# (axes, legends, titles, data points) and extracting the underlying data.
# This task combines visual element localization with semantic understanding.
#
# Annotation Guidelines:
# 1. First classify the chart type
# 2. Draw bounding boxes around key structural elements:
#    - Chart Title, Axis Labels, Legend, Data Points/Bars/Slices
# 3. Extract readable data values from the chart
# 4. Note any special features (annotations, trend lines, dual axes)
#
# Element Types for Bounding Boxes:
# - Title: The main title of the chart
# - X-Axis Label: Label text along the horizontal axis
# - Y-Axis Label: Label text along the vertical axis
# - Legend: The legend/key area
# - Data Region: The area containing actual data visualization
# - Annotation: Any text annotations or callouts on the chart

annotation_task_name: "CHART-Infographics: Chart Analysis"
task_dir: "."

data_files:
  - sample-data.json
item_properties:
  id_key: "id"
  text_key: "image_url"

output_annotation_dir: "annotation_output/"
output_annotation_format: "json"

annotation_schemes:
  # Step 1: Identify chart elements with bounding boxes
  - annotation_type: image_annotation
    name: chart_elements
    description: "Draw bounding boxes around the key structural elements of the chart."
    tools:
      - bbox
    labels:
      - "Title"
      - "X-Axis Label"
      - "Y-Axis Label"
      - "Legend"
      - "Data Region"
      - "Annotation"

  # Step 2: Classify chart type
  - annotation_type: radio
    name: chart_type
    description: "What type of chart or visualization is this?"
    labels:
      - "Bar"
      - "Line"
      - "Pie"
      - "Scatter"
      - "Area"
      - "Heatmap"
      - "Other"
    keyboard_shortcuts:
      "Bar": "1"
      "Line": "2"
      "Pie": "3"
      "Scatter": "4"
      "Area": "5"
      "Heatmap": "6"
      "Other": "7"
    tooltips:
      "Bar": "Bar chart (vertical or horizontal bars representing values)"
      "Line": "Line chart (data points connected by lines showing trends)"
      "Pie": "Pie or donut chart (circular chart showing proportions)"
      "Scatter": "Scatter plot (individual data points plotted on x-y axes)"
      "Area": "Area chart (filled region between line and axis)"
      "Heatmap": "Heatmap or matrix visualization (color-coded grid)"
      "Other": "Any other chart type not listed above (radar, treemap, Sankey, etc.)"

  # Step 3: Chart complexity
  - annotation_type: radio
    name: chart_complexity
    description: "How complex is this chart?"
    labels:
      - "Simple"
      - "Moderate"
      - "Complex"
    tooltips:
      "Simple": "Single data series, clear labels, no annotations (e.g., simple bar chart)"
      "Moderate": "Multiple data series, legend present, some annotations"
      "Complex": "Multiple chart types combined, dual axes, dense data, or infographic elements"

  # Step 4: Data extraction
  - annotation_type: text
    name: extracted_data
    description: "Extract the key data values from the chart. List the data as label: value pairs, one per line."

  # Step 5: Additional notes
  - annotation_type: text
    name: notes
    description: "Note any special features, issues with readability, or additional observations about the chart."

html_layout: |
  <div style="margin-bottom: 10px; padding: 8px; background: #f0f4f8; border-radius: 4px;">
    <strong>Chart Source:</strong> {{chart_source}}
  </div>
  <div style="margin-bottom: 8px; padding: 8px; background: #fafafa; border-radius: 4px;">
    <strong>Description:</strong> {{description}}
  </div>
  <div style="text-align: center; margin-bottom: 15px; padding: 10px; background: #ffffff; border: 1px solid #e5e7eb; border-radius: 6px;">
    <img src="{{image_url}}" style="max-width: 100%; max-height: 600px;" />
  </div>

allow_all_users: true
instances_per_annotator: 50
annotation_per_instance: 2
allow_skip: true
skip_reason_required: false