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

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

Image classification pipeline for natural sciences

Airborne Coast Monitoring System for Sea Turtle Detection and Species Classification

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

Aotearoa species classifier and the corresponding apps

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

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

Implementation of classification algorithms to classify pistachio species

ML Builder

(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.