Search Results for author: Anna Zamansky

Found 7 papers, 0 papers with code

Automated Detection of Cat Facial Landmarks

no code implementations15 Oct 2023 George Martvel, Ilan Shimshoni, Anna Zamansky

One of the most significant challenges that researchers in the field currently face is the scarcity of high-quality, comprehensive datasets that allow the development of models for facial expressions analysis.

Anatomy Facial Landmark Detection

Machine Learning Approaches to Predict and Detect Early-Onset of Digital Dermatitis in Dairy Cows using Sensor Data

no code implementations18 Sep 2023 Jennifer Magana, Dinu Gavojdian, Yakir Menachem, Teddy Lazebnik, Anna Zamansky, Amber Adams-Progar

The aim of this study was to employ machine learning algorithms based on sensor behavior data for (1) early-onset detection of digital dermatitis (DD); and (2) DD prediction in dairy cows.

Management

BovineTalk: Machine Learning for Vocalization Analysis of Dairy Cattle under Negative Affective States

no code implementations26 Jul 2023 Dinu Gavojdian, Teddy Lazebnik, Madalina Mincu, Ariel Oren, Ioana Nicolae, Anna Zamansky

There is a critical need to develop and validate non-invasive animal-based indicators of affective states in livestock species, in order to integrate them into on-farm assessment protocols, potentially via the use of precision livestock farming (PLF) tools.

Digitally-Enhanced Dog Behavioral Testing: Getting Help from the Machine

no code implementations26 Jul 2023 Nareed Farhat, Teddy Lazebnik, Joke Monteny, Christel Palmyre Henri Moons, Eline Wydooghe, Dirk van der Linden, Anna Zamansky

An unsupervised clustering of the dogs' trajectories revealed two main clusters showing a significant difference in the stranger-directed fear C-BARQ factor, as well as a good separation between (sufficiently) relaxed dogs and dogs with excessive behaviors towards strangers based on expert scoring.

Clustering

CatFLW: Cat Facial Landmarks in the Wild Dataset

no code implementations7 May 2023 George Martvel, Nareed Farhat, Ilan Shimshoni, Anna Zamansky

This paper aims to fill this gap by presenting a dataset called Cat Facial Landmarks in the Wild (CatFLW) which contains 2016 images of cat faces in different environments and conditions, annotated with 48 facial landmarks specifically chosen for their relationship with underlying musculature, and relevance to cat-specific facial Action Units (CatFACS).

Cannot find the paper you are looking for? You can Submit a new open access paper.