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Fl Image Category
F
Fl Image Category
Developed by StephenSKelley
An image classification model fine-tuned based on microsoft/resnet-18, trained on the fl_image_category_ds dataset
Downloads 29
Release Time : 2/21/2023
Model Overview
This model is an image classification model primarily used for classifying images of specific categories. Fine-tuned based on the ResNet-18 architecture, it achieved an accuracy of 62.16% on the target dataset.
Model Features
Efficient Image Classification
Based on the lightweight ResNet-18 architecture, suitable for medium-scale image classification tasks
Transfer Learning Fine-tuning
Fine-tuned on a pre-trained model for specific datasets to enhance classification performance
Model Capabilities
Image Classification
Visual Feature Extraction
Use Cases
Image Recognition
Product Classification
Can be used for automatic classification of product images on e-commerce platforms
Achieved an accuracy of 62.16% on the test set
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