A graphical user interface for annotating and editing events detected in long-term acoustic monitoring data

[CIKM'24] Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs

Species-aware DNA foundation model for genome sequence embeddings

TeraiNet is a species classification model focused on the Terai region in Nepal to support Bengal tiger conservation

Image classification pipeline for natural sciences

AI-powered local photo tagging: auto-detect 10,000+ species & objects, generate XMP sidecars for Lightroom/On1/Immich. 100% private, GPU accelerated, Docker-based.

Airborne Coast Monitoring System for Sea Turtle Detection and Species Classification

Aotearoa species classifier and the corresponding apps

Deep learning model for classifying wildlife species from camera trap images using transfer learning and data augmentation techniques.

Mapping species in Neukalen, Germany from 2020 to 2022 using Python based on Random Forest classifier and UAV multispectral images

ML Builder

Implementation of classification algorithms to classify pistachio species

(Graduation Thesis) This study implements a ResNet-50 based deep learning model for automated fish recognition. The project utilizes convolutional neural networks to classify various species, providing a robust computational tool for marine biodiversity assessment and real-time identification.

Research project on Apiaceae (umbellifer) species identification via an L-system → point cloud → 2D render → CNN pipeline. Asks whether a structural 3D intermediate helps where flat 2D classifiers struggle on cryptic species.

MegaDetector-Classifier — Microsoft's open-source AI for camera-trap species classification. Fine-tuning and inference for wildlife identification, running downstream of MegaDetector animal detection. Maintained by Microsoft AI for Good Lab. Part of the Pytorch-Wildlife ecosystem.