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Detr Resnet 50 CD45RB 1000 Att
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Detr Resnet 50 CD45RB 1000 Att

Developed by polejowska
A fine-tuned model based on facebook/detr-resnet-50 for object detection tasks
Object Detection
Transformers
Open Source License:Apache-2.0#Object Detection#Medical Image Analysis#Fine-tuned Model
Downloads 13
Release Time : 2/28/2023

Model Overview

This model is an object detection model based on the DETR (Detection Transformer) architecture, fine-tuned on the ResNet-50 backbone network. Suitable for scenarios requiring efficient object detection.

Model Features

End-to-End Object Detection
Utilizes Transformer architecture for end-to-end object detection without complex post-processing
ResNet-50 Backbone Network
Uses the well-established ResNet-50 as a feature extractor to ensure feature extraction quality
Efficient Training
After 25 training epochs, validation loss reduced to 1.7065

Model Capabilities

Object Detection
Image Analysis
Object Recognition

Use Cases

Computer Vision
General Object Detection
Detects various objects in images
Intelligent Surveillance
Used for object detection and recognition in surveillance videos
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