Open-source finetuned_detr - resnet - 50 model shines in furniture object detection tasks!

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Finetuned Detr Resnet 50 On Furniture

Developed by kmc0003a

This model is a fine-tuned version of facebook/detr-resnet-50 on a furniture dataset for object detection tasks.

Object Detection

Transformers

Open Source License:Apache-2.0 #Furniture Detection #Object Recognition #Fine-tuned Model

Downloads 25

Release Time : 10/25/2023

Model Overview

This model is an object detection model based on the DETR architecture, specifically optimized for furniture recognition.

Model Features

End-to-End Object Detection

Uses Transformer architecture for end-to-end object detection without complex post-processing

Furniture-Specific Optimization

Specially fine-tuned for furniture recognition tasks, potentially performing better in furniture detection scenarios

Based on ResNet-50

Uses ResNet-50 as the backbone network, balancing performance and efficiency

Model Capabilities

Object detection in images

Furniture recognition

Bounding box prediction

Use Cases

Retail & E-commerce

Automatic Furniture Tagging

Automatically identify and tag furniture in product images

Indoor Scene Analysis

Analyze furniture layout in indoor photos

Smart Home

Furniture Recognition & Interaction

Furniture recognition functionality in smart home systems

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Finetuned Detr Resnet 50 On Furniture

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 finetuned_detr-resnet-50-on-furniture

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Model description

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