10 docs tagged with "Release 2025-10"

A curated ICICLE benchmark for evaluating the performance of pre-trained models and fostering the development of adaptation algorithms in the camera trap domain.

ICICLE benchmark for camera trap image analysis with adaptive learning capabilities.

The Camera Traps application is both a simulator and IoT device software for utilizing machine learning on the edge in field research. The first implementation specializes in applying computer vision (detection and classification) to wildlife images for animal ecology studies. Two operational modes are supported (1) an input dataset of images to act as the images that would be generated an IoT camera device or (2) an input video file that would be captured by a camera which is then processed by an image detecting plugin that saves frames with motion in them; it uses these images to drive the simulation.

The ctcontroller tool can be used to manage the provisioning and releasing of edge hardware as well as running and shutting down the camera-traps application.

This is a visualization tool for results from GNN FoodFlow Model. This portal allows you to explore the data through an interactive map, and to download the filtered results for your own research.

Harvest is a tool designed to allow multiple types of stake holders in the digital agriculture space further their own unique goals from research to increases of the bottom line. Harvest allows for the creation of pipelines where users can preprocess their data, train models on HPC resources, infer on models to get insights on farm fields, and some visualizations to give an at a glance understand of what is happening on the field.

Ilúvatar is an open Serverless platform built with the goal of jumpstarting and streamlining FaaS research.

ScienceAgent Interface provides a web interface for conducting data-driven scientific tasks using ScienceAgent. The interface connects to a Python backend which allows users to execute generated programs in an isolated Docker environment and view the results.

The Food Equity Access Simulation Technology (FEAST) tool — previously known as the Food Access and Strategy Simulation (FASS) tool — is a powerful platform for analyzing how changes in the food retail landscape, such as adding or removing stores, affect household food access. FEAST enables users to simulate and evaluate strategies aimed at improving food equity across communities.

An open-source, autonomous and affordable UAS for animal behaviour video monitoring using Parrot Anafi drones to track group-living animals.