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Deta Resnet 50 Finetuned Blood Cell 10epochs
A model fine-tuned on blood cell object detection dataset based on DETA-ResNet-50 architecture, suitable for medical image analysis
Downloads 23
Release Time : 10/16/2023
Model Overview
This model is a fine-tuned version of the DETA-ResNet-50 architecture for blood cell object detection tasks, primarily used for blood cell recognition and localization in medical images
Model Features
Medical image analysis
Optimized specifically for blood cell detection tasks
Based on ResNet-50
Utilizes the well-established ResNet-50 architecture as the base model
10-epoch fine-tuning
Fine-tuned for 10 epochs on blood cell dataset
Model Capabilities
Blood cell detection
Medical image analysis
Object localization
Use Cases
Medical diagnosis
Blood cell counting
Automatically detect and count blood cells in medical images
Abnormal cell detection
Identify abnormal blood cell morphology in images
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