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Resnet 50 Ucsat

Developed by YKXBCi
An image classification model fine-tuned based on microsoft/resnet-50, demonstrating medium accuracy on an unknown dataset
Image Classification
Transformers
Open Source License:Apache-2.0#Image Classification#Transfer Learning#Medium Accuracy
Downloads 24
Release Time : 7/3/2022

Model Overview

This model is a fine-tuned version based on the ResNet-50 architecture, primarily used for image classification tasks. During training, it showed progressive improvement in accuracy, eventually reaching approximately 65.6% validation accuracy.

Model Features

Transfer Learning Foundation
Fine-tuned based on the mature ResNet-50 architecture, with excellent feature extraction capabilities
Progressive Learning
Accuracy progressively improved from 20.57% to 71.25% (training set) during training
Excellent Top-3 Accuracy
Top-3 accuracy on the validation set reached 89.24%, significantly higher than the base accuracy

Model Capabilities

Image Classification
Feature Extraction
Transfer Learning

Use Cases

General Image Recognition
Object Classification
Classify and recognize common objects
Validation accuracy 65.6%
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