1M+ Furniture Images | AI Training Data | Object Detection Data | Annotated imagery data | Global Coverage
Overview
1M+ Furniture Images | AI Training Data | Object Detection Data | Annotated imagery data | Global Coverage is an image dataset. Typical applications include object detection and segmentation. Relevant sectors: AI & Machine Learning and Education. The listing mentions polygons / segmentation and classification labels. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions polygons / segmentation, classification labels.
This dataset features over 1,000,000 high-quality images of furniture sourced globally from photographers, designers, and decor enthusiasts. Engineered for AI and machine learning applications, it offers richly annotated, diverse, and scalable imagery across residential, commercial, and studio environments. Key Features: 1. Comprehensive Metadata: each image includes full EXIF data and structured annotations detailing furniture type (e.g., chair, sofa, table, bed), material (e.g., wood, metal, fabric), style (e.g., modern, vintage, minimalist), and use context (e.g., staged, in-use, catalog). Supports classification, segmentation, and recommendation model training. 2. Unique Sourcing Capabilities: images are sourced through a proprietary gamified photography platform, with frequent competitions on furniture and interior themes. Custom datasets can be provided within 72 hours targeting specific categories, styles, room settings, or demographics. 3. Global Diversity: contributions from over 100 countries capture a broad spectrum of furniture styles and household aesthetics—from Scandinavian minimalism to traditional Asian craftsmanship. Images cover a variety of settings including homes, offices, cafes, showrooms, and outdoor patios. 4. High-Quality Imagery: ranges from catalog-quality studio images to natural lifestyle photos in real-world settings. Resolutions span from standard to ultra-HD, ensuring detail-rich inputs for both aesthetic and functional AI models. 5. Popularit
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- Language
- —
- Volume
- 100k h
- Domain
- AI & Machine Learning +1
- Use case
- Object detection
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