: Use a model like ResNet-50 or EfficientNet that has been pre-trained on large datasets (e.g., ImageNet). These models have already "learned" how to detect edges, textures, and complex shapes.

: Use techniques like t-SNE or PCA to visualize these features. This helps identify if the model effectively separates different species, such as the decoy-building Cyclosa or the flamboyant Micrathena . Biological Context for Features ARAIGNEES.rar

: If working with rare species, consider a Multi-Branch Fusion Network that combines global features (overall body shape) with local features (specific markings or leg structures) to improve accuracy. : Use a model like ResNet-50 or EfficientNet