45 citations · 45 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Beyond Off-the-Shelf Models: A Lightweight and Accessible Machine Learning Pipeline for Ecologists Working with Image Data
Clare Chemery, Hendrik Edelhoff, Ludwig Bothmann
We introduce a lightweight experimentation pipeline designed to lower the barrier for applying machine learning (ML) methods for classifying images in ecological research. We enabl…
cs.CV2023★ 45 cited
Automated wildlife image classification: An active learning tool for ecological applications
Ludwig Bothmann, Lisa Wimmer, Omid Charrakh +6
Wildlife camera trap images are being used extensively to investigate animal abundance, habitat associations, and behavior, which is complicated by the fact that experts must first…