CUB-200-2011 Fine-Grained Bird Classification
Fine-grained visual categorization of 200 bird species (Wah et al., 2011). Annotate bird images with species labels, part locations, and attribute annotations.
Configuration Fileconfig.yaml
# CUB-200-2011 Fine-Grained Bird Classification Configuration
# Based on Wah et al., 2011
annotation_task_name: "CUB-200 Bird Species Classification"
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: "radio"
name: "bird_family"
description: "Select the bird family"
labels:
- name: "warbler"
tooltip: "Small songbirds including warblers"
- name: "sparrow"
tooltip: "Sparrows and related species"
- name: "vireo"
tooltip: "Vireos"
- name: "woodpecker"
tooltip: "Woodpeckers and related"
- name: "flycatcher"
tooltip: "Flycatchers"
- name: "wren"
tooltip: "Wrens"
- name: "gull"
tooltip: "Gulls and terns"
- name: "tern"
tooltip: "Terns"
- name: "blackbird"
tooltip: "Blackbirds and orioles"
- name: "other"
tooltip: "Other bird families"
- annotation_type: "multiselect"
name: "visual_attributes"
description: "Select visible attributes"
labels:
- name: "has_bill_shape_hooked"
tooltip: "Bill is hooked"
- name: "has_bill_shape_cone"
tooltip: "Bill is cone-shaped"
- name: "has_wing_pattern_striped"
tooltip: "Wings have striped pattern"
- name: "has_wing_pattern_solid"
tooltip: "Wings are solid colored"
- name: "has_breast_pattern_spotted"
tooltip: "Breast has spots"
- name: "has_breast_color_yellow"
tooltip: "Breast is yellow"
- name: "has_breast_color_white"
tooltip: "Breast is white"
- name: "has_crown_color_black"
tooltip: "Crown is black"
- name: "has_eye_color_red"
tooltip: "Eyes are red"
- name: "has_tail_shape_forked"
tooltip: "Tail is forked"
- annotation_type: "radio"
name: "visibility"
description: "How visible is the bird?"
labels:
- name: "fully_visible"
tooltip: "Bird is completely visible"
- name: "partially_occluded"
tooltip: "Bird is partially hidden"
- name: "mostly_occluded"
tooltip: "Most of bird is hidden"
- annotation_type: "text"
name: "species_name"
description: "Enter the specific species name if known"
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
[
{
"id": "cub_001",
"image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/45/Eopsaltria_australis_-_Mogo_Campground.jpg/1200px-Eopsaltria_australis_-_Mogo_Campground.jpg",
"context": "Identify the bird species and annotate visible attributes. Note any distinctive features."
},
{
"id": "cub_002",
"image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a7/Camponotus_flavomarginatus_ant.jpg/1200px-Camponotus_flavomarginatus_ant.jpg",
"context": "Classify this bird and mark all visible body part attributes."
}
]
// ... and 1 more itemsGet This Design
Clone or download from the repository
Quick start:
git clone https://github.com/davidjurgens/potato-showcase.git cd potato-showcase/image/classification/cub-200-birds potato start config.yaml
Details
Annotation Types
Domain
Use Cases
Tags
Found an issue or want to improve this design?
Open an IssueRelated Designs
FLAIR: French Land Cover from Aerospace Imagery
Land use and land cover classification from high-resolution aerial imagery. Annotators classify the primary land use category of aerial image patches and identify any secondary land uses present. Based on the FLAIR dataset from the French National Institute of Geographic and Forest Information (IGN).
iWildCam Wildlife Detection & Classification
Camera trap image classification for wildlife monitoring (Beery et al., CVPR 2019). Classify wildlife species from camera trap images across diverse ecosystems worldwide.
KITTI Road Object Detection
Autonomous driving benchmark for object detection (Geiger et al., CVPR 2012). Annotate vehicles, pedestrians, and cyclists with 3D bounding boxes and occlusion/truncation labels.