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Resnet34 Sketch Classifier
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Resnet34 Sketch Classifier

Developed by kmewhort
A sketch classifier based on the ResNet-34 architecture, fine-tuned on the TU-Berlin dataset, suitable for sketch recognition and classification tasks.
Image Classification
Transformers
#Hand-drawn sketch recognition#ResNet-34 fine-tuning#TU-Berlin dataset
Downloads 705
Release Time : 12/5/2022

Model Overview

This model is a basic sketch classifier that uses the ResNet-34 architecture and is fine-tuned on the complete TU-Berlin dataset, mainly used for sketch recognition and classification.

Model Features

Efficient sketch classification
Based on the ResNet-34 architecture, it can efficiently classify sketches.
Fine-tuning training
Fine-tuned on the TU-Berlin dataset to improve the model's classification performance.
Lightweight architecture
The ResNet-34 architecture is relatively lightweight and suitable for running on devices with limited resources.

Model Capabilities

Sketch recognition
Sketch classification

Use Cases

Education
Sketch recognition teaching tool
Used in educational scenarios to help students recognize and classify different types of sketches.
Design
Design sketch classification
Used in the design field to automatically classify design sketches and improve work efficiency.
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