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Flyswot Test
F
Flyswot Test
Developed by davanstrien
Image classification model based on ConvNeXt architecture, fine-tuned on image folder dataset
Downloads 23
Release Time : 3/2/2022
Model Overview
This model is a vision model based on the ConvNeXt-Base architecture, fine-tuned for image classification tasks. It demonstrates high F1 score (0.9595) and fast inference speed (69.6 samples per second) in evaluations.
Model Features
Efficient inference
Evaluation shows it can process 69.6 samples per second, suitable for real-time applications
High accuracy
Achieves an F1 score of 0.9595 on the evaluation set, demonstrating excellent performance
Transfer learning
Fine-tuned from the pre-trained ConvNeXt-Base model, fully leveraging the advantages of large-scale pre-training
Model Capabilities
Image classification
Visual feature extraction
Use Cases
Computer vision
General image classification
Classify and recognize input images
Evaluation F1 score 0.9595
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