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Accomodation Room Classification

Developed by sharmajai901
Fine-tuned based on Google's ViT model for accommodation room image classification, achieving 87.5% accuracy on the validation set
Downloads 29
Release Time : 4/27/2024

Model Overview

This model is an image classification model fine-tuned on the Google ViT-base-patch16-224 architecture, specifically designed to recognize and classify different types of accommodation room images.

Model Features

High Accuracy
Achieves 87.5% classification accuracy on the validation set
Based on ViT Architecture
Utilizes Vision Transformer architecture with excellent image understanding capabilities
Lightweight Fine-tuning
Efficient fine-tuning on the base model to adapt to specific classification tasks

Model Capabilities

Image Classification
Accommodation Room Recognition
Visual Feature Extraction

Use Cases

Hotel Management
Automatic Room Type Classification
Automatically identifies room type images in hotel booking systems
87.5% accuracy
Real Estate
Property Image Classification
Automatically classifies property images on real estate platforms
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