Places365 Scene Classification
Scene recognition and classification following the Places365 dataset (Zhou et al., TPAMI 2017). Classify images into 365 scene categories spanning indoor, outdoor, and natural environments.
Archivo de configuraciónconfig.yaml
# Places365 Scene Classification Configuration
# Based on Zhou et al., TPAMI 2017
annotation_task_name: "Places365 Scene 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: "scene_category"
description: "Select the primary scene category"
labels:
- name: "indoor_home"
tooltip: "Indoor home environments (bedroom, kitchen, living room)"
- name: "indoor_work"
tooltip: "Indoor work environments (office, conference room)"
- name: "indoor_public"
tooltip: "Indoor public spaces (mall, museum, restaurant)"
- name: "outdoor_urban"
tooltip: "Outdoor urban scenes (street, plaza, parking lot)"
- name: "outdoor_nature"
tooltip: "Natural outdoor scenes (forest, beach, mountain)"
- name: "outdoor_sports"
tooltip: "Sports venues (stadium, tennis court, golf course)"
- name: "transportation"
tooltip: "Transportation scenes (airport, train station, highway)"
- name: "water"
tooltip: "Water-related scenes (ocean, lake, river)"
- annotation_type: "multiselect"
name: "scene_attributes"
description: "Select scene attributes that apply"
labels:
- name: "natural"
tooltip: "Scene contains natural elements"
- name: "man-made"
tooltip: "Scene contains man-made structures"
- name: "open"
tooltip: "Open, expansive space"
- name: "enclosed"
tooltip: "Enclosed or bounded space"
- name: "rugged"
tooltip: "Uneven, rough terrain"
- name: "smooth"
tooltip: "Smooth, even surfaces"
- name: "vegetation"
tooltip: "Contains plants or greenery"
- name: "water"
tooltip: "Contains water"
- name: "crowded"
tooltip: "Contains many people"
- name: "empty"
tooltip: "Few or no people"
- annotation_type: "radio"
name: "indoor_outdoor"
description: "Is this an indoor or outdoor scene?"
labels:
- name: "indoor"
tooltip: "Scene is indoors"
- name: "outdoor"
tooltip: "Scene is outdoors"
- name: "semi_outdoor"
tooltip: "Partially covered or transitional space"
- annotation_type: "text"
name: "specific_place"
description: "Enter a more specific place description 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"
Datos de ejemplosample-data.json
[
{
"id": "places_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": "Classify this scene. Consider whether it's indoor/outdoor and what category it belongs to."
},
{
"id": "places_002",
"image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1200px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg",
"context": "Identify the scene type and applicable attributes."
}
]
// ... and 1 more itemsObtener este diseño
Clone or download from the repository
Inicio rápido:
git clone https://github.com/davidjurgens/potato-showcase.git cd potato-showcase/image/classification/places365 potato start config.yaml
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