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Resnet50
Computer vision model based on ResNet-50 architecture for image classification tasks
Downloads 24
Release Time : 10/14/2022
Model Overview
This model is a deep learning model based on the ResNet-50 architecture, primarily used for image classification tasks. It is a pre-trained model released by Microsoft and has been fine-tuned in this case.
Model Features
Deep Residual Network
Utilizes the ResNet-50 architecture, addressing the vanishing gradient problem in deep network training through residual connections.
Transfer Learning
Fine-tuned based on a pre-trained model, suitable for image classification tasks in specific domains.
Efficient Training
Supports mixed-precision training to optimize training efficiency.
Model Capabilities
Image Classification
Feature Extraction
Transfer Learning
Use Cases
Computer Vision
Object Recognition
Identify the main object categories in an image
Scene Classification
Classify the scene of an image
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