Product-identifier-single
V0.2 for Cost Estimation. [Private Workflow, for internal customer] The RoomFurnishCostEstimator API enables developers to analyze a furnished room from a single image and estimate the total cost of furnishing it from scratch. Leveraging advanced computer vision and deep learning models, the API identifies furniture items, decor elements, and interior design features to generate a detailed cost breakdown. This is ideal for interior designers, real estate platforms, home improvement services, and virtual staging tools seeking to offer instant furnishing insights and pricing to their users. Key Features: Object Detection & Classification: The API scans the uploaded image to detect and classify key furniture pieces such as sofas, beds, tables, chairs, shelves, and storage units. Interior Element Analysis: It recognizes fixed interior design elements like false ceilings, wall textures, floor types, window treatments, and lighting fixtures. Decor & Accessories Identification: The system also detects soft furnishings and decor items such as rugs, curtains, lamps, artwork, mirrors, and throw pillows. Cost Estimation Engine: Each identified item is mapped to a pricing database curated from real-world catalogues (adjustable by region or retailer if needed). The engine provides an itemized breakdown and a total estimated furnishing cost. Customization Options: Developers can specify parameters like price range (budget, mid-range, luxury), regional pricing, or preferred brands to tailor estimates to specific markets or user profiles. Response Format: The API returns a JSON object containing: Detected items with labels and cost. Estimated cost per item/category Total furnishing cost Optional suggestions for replacements or upgrades Use Cases: Real estate virtual staging cost projection Interior design budgeting Home improvement planning apps AR-based room planners This API offers a powerful solution for automating and scaling interior cost assessments from simple images.
V0.2 for Cost Estimation. [Private Workflow, for internal customer]
The Product Identifier and Room Design Cost estimator API enables developers to analyze a furnished room from a single image and estimate the total cost of furnishing it from scratch. Leveraging advanced computer vision and deep learning models, the API identifies furniture items, decor elements, and interior design features to generate a detailed cost breakdown. This is ideal for interior designers, real estate platforms, home improvement services, and virtual staging tools seeking to offer instant furnishing insights and pricing to their users.
The Product Identifier and Room Design Cost estimator API enables developers to analyze a furnished room from a single image and estimate the total cost of furnishing it from scratch. Leveraging advanced computer vision and deep learning models, the API identifies furniture items, decor elements, and interior design features to generate a detailed cost breakdown. This is ideal for interior designers, real estate platforms, home improvement services, and virtual staging tools seeking to offer instant furnishing insights and pricing to their users.
Key Features:
Object Detection & Classification: The API scans the uploaded image to detect and classify key furniture pieces such as sofas, beds, tables, chairs, shelves, and storage units.
Interior Element Analysis: It recognizes fixed interior design elements like false ceilings, wall textures, floor types, window treatments, and lighting fixtures.
Decor & Accessories Identification: The system also detects soft furnishings and decor items such as rugs, curtains, lamps, artwork, mirrors, and throw pillows.
Cost Estimation Engine: Each identified item is mapped to a pricing database curated from real-world catalogues (adjustable by region or retailer if needed). The engine provides an itemized breakdown and a total estimated furnishing cost.
Customization Options: Developers can specify parameters like price range (budget, mid-range, luxury), regional pricing, or preferred brands to tailor estimates to specific markets or user profiles.
Response Format: The API returns a JSON object containing:
Detected items with labels and cost.
Estimated cost per item/category
Total furnishing cost
Optional suggestions for replacements or upgrades
Use Cases:
Real estate virtual staging cost projection
Interior design budgeting
Home improvement planning apps
AR-based room planners
This API offers a powerful solution for automating and scaling interior cost assessments from simple images.
This API offers a powerful solution for automating and scaling interior cost assessments from simple images. Developed by Segmind in house.