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Flyswot
Computer vision model based on ConvNeXt-Tiny architecture, suitable for image classification tasks
Downloads 14
Release Time : 4/6/2022
Model Overview
This model is a fine-tuned version based on the ConvNeXt-Tiny architecture on a specific dataset, primarily used for image classification tasks.
Model Features
Efficient Image Classification
Based on the ConvNeXt-Tiny architecture, it maintains high accuracy while requiring lower computational resources.
Fine-tuning Optimization
Fine-tuned on specific datasets, potentially optimized for image classification tasks in specific domains.
Model Capabilities
Image Classification
Feature Extraction
Use Cases
Computer Vision
General Image Classification
Classify and recognize input images
Validation F1 score reached 0.9941
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