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Interactive 3D insect field guide: 63 species across 14 orders, every body procedurally generated in the browser with TypeScript + Three.js — no model or texture files in the repo. Eight species step through a full life cycle; the hoverers beat their wings.
Identify plants, birds, and insects in photos. Should an identification to species be unsuccessful, an identification to a higher taxonomic level - like genus, family, or order - is made.
Yellow Sticky Traps Dataset with improved annotations. Based on: "Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection" by A.T. Nieuwenhuizen et. al.
SwarmSight is a published video analysis tool with modules to a) to track insect antenna and proboscis movements and b) assess the aggregate movement or activity levels of groups or swarms of animals. Developed at Arizona State University, it is used by behavioral scientists to study the behavior of insects, birds, fish, and other animals.
Insect Explorer is a fascinating web app that allows users to search, identify, and learn about various insect species using free open-data APIs. This interactive tool is perfect for entomologists, nature enthusiasts, and students who want detailed scientific information and images of insects.
Python package of computational models relevant to invertebrate processing, from the environment to sensor responses and to deeper neural responses in the invertebrate brain.