: Input your images from the .rar file into the network. The resulting output vector (often 512, 1024, or 2048 dimensions) is your "deep feature."
: 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. ARAIGNEES.rar
: 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 : Input your images from the
: Deep grooves (fovea), chelicerae teeth patterns , and specific leg spines. chelicerae teeth patterns