Showcase/ImageNet Image Classification
intermediateimage

ImageNet Image Classification

Large-scale image classification following the ImageNet dataset (Deng et al., CVPR 2009). Classify images into 1000+ synsets organized according to the WordNet hierarchy.

🖼️

image annotation

Configuration Fileconfig.yaml

# ImageNet Image Classification Configuration
# Based on Deng et al., CVPR 2009

annotation_task_name: "ImageNet Image Classification"

data_files:
  - "sample-data.json"

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

user_config:
  allow_all_users: true

annotation_schemes:
  - annotation_type: "radio"
    name: "primary_category"
    description: "Select the primary object category shown in the image"
    labels:
      - name: "dog"
        tooltip: "Domestic dogs (n02084071)"
      - name: "cat"
        tooltip: "Domestic cats (n02121620)"
      - name: "bird"
        tooltip: "Birds (n01503061)"
      - name: "fish"
        tooltip: "Fish (n02512053)"
      - name: "vehicle"
        tooltip: "Vehicles and conveyances (n04524313)"
      - name: "furniture"
        tooltip: "Furniture (n03405725)"
      - name: "food"
        tooltip: "Food items (n07555863)"
      - name: "plant"
        tooltip: "Plants and flora (n00017222)"
      - name: "building"
        tooltip: "Buildings and structures (n02913152)"
      - name: "person"
        tooltip: "People (n00007846)"
      - name: "other"
        tooltip: "Other category not listed"

  - annotation_type: "radio"
    name: "synset_match"
    description: "Does the image correctly represent the given synset?"
    labels:
      - name: "correct"
        tooltip: "Image correctly shows the synset category"
      - name: "incorrect"
        tooltip: "Image does not match the synset"
      - name: "ambiguous"
        tooltip: "Multiple interpretations possible"

  - annotation_type: "radio"
    name: "image_quality"
    description: "Rate the image quality for classification"
    labels:
      - name: "high"
        tooltip: "Clear, centered object, good lighting"
      - name: "medium"
        tooltip: "Acceptable quality with minor issues"
      - name: "low"
        tooltip: "Poor quality, difficult to classify"

  - annotation_type: "text"
    name: "fine_grained_label"
    description: "Provide a more specific label if known (e.g., 'golden retriever' instead of 'dog')"

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

output_annotation_format: "json"
output_annotation_dir: "annotations"

Sample Datasample-data.json

[
  {
    "id": "inet_001",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/2/26/YellowLabradorLooking_new.jpg/1200px-YellowLabradorLooking_new.jpg",
    "synset_candidates": "dog (n02084071), Labrador retriever (n02099712), golden retriever (n02099601)"
  },
  {
    "id": "inet_002",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Cat03.jpg/1200px-Cat03.jpg",
    "synset_candidates": "cat (n02121620), tabby cat (n02123045), tiger cat (n02123159)"
  }
]

// ... 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/imagenet
potato start config.yaml

Details

Annotation Types

radiomultiselect

Domain

Computer VisionImage Classification

Use Cases

Image ClassificationVisual RecognitionTransfer Learning

Tags

imagenetclassificationwordnetcvpr2009large-scale

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