ResNet-50 Finetuned Open-source Vision Model - Free Deployment for Accurate Image Classification

Resnet 50 Finetuned

Developed by ImageIN

A vision model fine-tuned on an unknown dataset based on microsoft/resnet-50, primarily used for image classification tasks

Image Classification

Transformers

Open Source License:Apache-2.0 #Image Classification Fine-tuning #Medium Precision Model #Transfer Learning Adaptation

Downloads 35

Release Time : 9/23/2022

Model Overview

This model is a fine-tuned version of the ResNet-50 architecture, suitable for image classification tasks, achieving 74.04% accuracy on the evaluation set

Model Features

Fine-tuning Performance

Achieved 74.04% accuracy after fine-tuning on an unknown dataset

ResNet Architecture

Adopts the classic ResNet-50 architecture with residual connection features

Lightweight Training

Requires only 10 training epochs to achieve decent results

Model Capabilities

Image Classification

Feature Extraction

Use Cases

Computer Vision

General Image Classification

Can be used to classify common objects and scenes

Achieved 74.04% accuracy on the evaluation set

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	46	0.6599	0.3702	0.5	0.4254	0.7404
No log	2.0	92	0.6725	0.3702	0.5	0.4254	0.7404
No log	3.0	138	nan	0.8714	0.5062	0.4384	0.7436
No log	4.0	184	nan	0.8714	0.5062	0.4384	0.7436
No log	5.0	230	nan	0.8714	0.5062	0.4384	0.7436
No log	6.0	276	nan	0.8714	0.5062	0.4384	0.7436
No log	7.0	322	nan	0.8714	0.5062	0.4384	0.7436
No log	8.0	368	nan	0.8714	0.5062	0.4384	0.7436
No log	9.0	414	nan	0.8714	0.5062	0.4384	0.7436
No log	10.0	460	0.7209	0.3702	0.5	0.4254	0.7404

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Resnet 50 Finetuned

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