Room Classifier
Upload an image of a room and let AI identify its type. This demo uses a locally-running Gradio model for inference.
Drop an image here
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Supports JPG, PNG, WebP
About This Model
This room classifier uses deep learning computer vision to automatically identify room types from images. Built on Convolutional Neural Networks (CNNs), the model analyzes spatial features, textures, and objects to classify rooms into categories like bedroom, kitchen, living room, and more. The model provides confidence scores for each prediction, enabling transparent and interpretable results.
Model Specifications
- Input Formats
- JPEG, PNG, WebP images
- Output
- Room type + confidence scores
- Inference Time
- < 1 second
- Deployment
- Gradio local server
- API Protocol
- REST with Server-Sent Events (SSE)