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Detr Resnet 50 Base Coco
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Detr Resnet 50 Base Coco

Developed by amyeroberts
An object detection model fine-tuned on the COCO dataset based on facebook/detr-resnet-50
Object Detection
Transformers
Open Source License:Apache-2.0#Object Detection#COCO Fine-tuning#End-to-End Detection
Downloads 20
Release Time : 7/18/2023

Model Overview

This model is an object detection model based on the DETR (Detection Transformer) architecture, specifically fine-tuned for the COCO dataset to detect and locate objects in images.

Model Features

End-to-End Object Detection
Utilizes Transformer architecture for end-to-end object detection, eliminating the need for anchor box generation and non-maximum suppression steps in traditional methods.
Optimized for COCO Dataset
Fine-tuned on the widely-used COCO object detection dataset, making it suitable for common object detection tasks.
ResNet-50 Backbone
Uses ResNet-50 as the feature extractor, balancing model performance and computational efficiency.

Model Capabilities

Object detection in images
Object localization
Multi-category recognition

Use Cases

Computer Vision
Smart Surveillance
Used for detecting and tracking objects like people and vehicles in surveillance videos
Retail Analytics
Detection and recognition of products on store shelves
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