A concatenated ConvNeXt-EfficientNet model reportedly classifies falcon endoscopy images into three health classes with 98% accuracy, but the evidence is a single unshared run.
A Hybrid Deep Learning Approach for Automatic Bird Species Recogni tion from Images
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AI-Driven Solutions for Falcon Disease Classification: Concatenated ConvNeXt cum EfficientNet AI Model Approach
A concatenated ConvNeXt-EfficientNet model reportedly classifies falcon endoscopy images into three health classes with 98% accuracy, but the evidence is a single unshared run.