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Detr Resnet 101 Finetuned Food Roboflow
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Detr Resnet 101 Finetuned Food Roboflow

Developed by kariver
An object detection model fine-tuned on a food image dataset based on facebook/detr-resnet-101
Object Detection
Transformers
Open Source License:Apache-2.0#Food Detection#Object Detection#Fine-tuned Model
Downloads 20
Release Time : 11/7/2023

Model Overview

This model is an object detection model based on the DETR architecture, specifically fine-tuned for food recognition tasks, capable of identifying and localizing food objects in images.

Model Features

End-to-End Object Detection
Utilizes the DETR architecture, eliminating the need for anchor box designs in traditional object detection, enabling end-to-end object detection.
Food Recognition Optimization
Specifically fine-tuned on food datasets, making it suitable for food recognition tasks.
Transformer-Based
Leverages the Transformer architecture for visual tasks, providing global contextual understanding capabilities.

Model Capabilities

Object Detection
Food Recognition
Image Analysis

Use Cases

Food Industry
Automatic Food Recognition
Used in automatic checkout systems in restaurants or supermarkets to identify food types.
Nutritional Analysis
Assists in nutritional analysis by identifying foods on a plate.
Retail
Smart Shelf Management
Monitors the placement and inventory of food items on shelves.
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