utkface-race-classifications Open-source Image Classification Model - Free Deployment to Aid in Efficient and Accurate Classification

Utkface Race Classifications

Developed by raffaelsiregar

This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset, primarily used for image classification tasks, achieving an accuracy of 84.86% on the evaluation set.

Image Classification

Transformers

Open Source License:Apache-2.0 #Image Classification #ResNet Fine-tuning #High Accuracy

Downloads 202

Release Time : 9/30/2024

Model Overview

This is a computer vision model based on the ResNet-50 architecture, fine-tuned for specific image classification tasks.

Model Features

High Accuracy

Achieved a classification accuracy of 84.86% on the evaluation set

Transfer Learning

Fine-tuned based on the pre-trained ResNet-50 model, fully leveraging the advantages of the pre-trained model

Efficient Training

Only 5 epochs of training are needed to achieve good performance

Model Capabilities

Image Classification

Feature Extraction

Use Cases

Computer Vision

General Image Classification

Classify and recognize input images

84.86% accuracy

Property	Details
Library Name	transformers
License	apache - 2.0
Base Model	microsoft/resnet - 50
Tags	generated_from_trainer
Metrics	accuracy

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6744	1.0	667	0.5635	0.7980
0.485	2.0	1334	0.4799	0.8342
0.2414	3.0	2001	0.4743	0.8486
0.1413	4.0	2668	0.5983	0.8444
0.0489	5.0	3335	0.6865	0.8541

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Utkface Race Classifications

Model Overview

Model Features

Model Capabilities

Use Cases

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Model Details

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