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Serverless Roomsort
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Serverless Roomsort
Developed by ShuaHousetable
An image classification model fine-tuned based on microsoft/beit-base-patch16-224-pt22k-ft22k, achieving 98.92% accuracy on the evaluation set.
Downloads 809
Release Time : 10/2/2022
Model Overview
This model is an image classification model suitable for visual tasks such as room classification.
Model Features
High accuracy
Achieves 98.92% classification accuracy on the evaluation set.
Based on BEiT architecture
Utilizes the advanced BEiT vision Transformer architecture.
Lightweight fine-tuning
Efficient fine-tuning on top of a pre-trained model.
Model Capabilities
Image classification
Room recognition
Visual feature extraction
Use Cases
Smart home
Room type recognition
Automatically identifies room types in images (bedroom, living room, kitchen, etc.)
98.92% accuracy
Real estate
Property photo classification
Automatically categorizes and organizes real estate photos
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