scout
Survey annotator
An application designed to support annotation labs processing imagery from aerial surveys and machine learning tasks
8 stars
6 watching
6 forks
Language: JavaScript
last commit: 7 days ago
Linked from 1 awesome list
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
| wildmeorg/scoutbot | A computer vision project for tracking wildlife using AI and machine learning techniques | 5 |
| wildmeorg/wildbook | Supports collaboration and automation in wildlife research and data analysis. | 106 |
| wildmeorg/wildbook-ia | An image analysis system that uses machine learning to identify and classify animals in images | 78 |
 jonoton/scout | A standalone software solution for video security monitoring with features like object and face detection, automatic recording, and remote access. | 15 |
 frc1418/victiscout | An Electron-based application for managing scouting data in FRC robotics competitions. | 23 |
 emijrp/wmcharts | Provides data-driven visualizations for Wikimedia projects' activity metrics | 3 |
 algolia/scout-extended | A Laravel package that integrates Algolia's search capabilities into the framework | 400 |
 br1sk/brisk | An app for submitting and managing radar reports to Apple's Radar service | 671 |
 wildeyeconservation/traptagger | An AI-powered web application for processing camera-trap images and classifying wildlife species | 31 |
 laravel/scout | Provides a simple, driver-based solution for adding full-text search to Eloquent models. | 1,575 |
 shanek/matador | A web-based interface for managing Bull Job Manager jobs | 98 |
 rsaarelm/magog | A roguelike game written in Rust with keyboard-only gameplay and planned UX improvements. | 372 |
 wildlife-dynamics/ecoscope | A software package for analyzing and visualizing wildlife movement data and environmental conservation data | 26 |
 anvaka/pm | Visualizes software package managers | 1,576 |
 microsoft/aerial_wildlife_detection | An active learning framework for annotating images and training machine learning models to detect wildlife in aerial images | 230 |