To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=CameraTraps&existingrepoid=152634113
Обновлено 2024-09-09 20:11:25 +03:00
Data catalog for the Microsoft Planetary Computer
Обновлено 2024-09-06 21:54:16 +03:00
Examples of using the Planetary Computer
Обновлено 2024-09-06 19:31:58 +03:00
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
Обновлено 2024-07-25 14:51:04 +03:00
Tools for detecting wildlife in aerial images using active learning
Обновлено 2024-07-25 14:23:22 +03:00
Planetary Computer SDK for Python
Обновлено 2024-07-15 20:30:17 +03:00
Multi-species bioacoustic classification using deep learning algorithms
Обновлено 2024-06-18 01:58:08 +03:00
Using machine learning to detect beluga whale calls in hydrophone recordings
Обновлено 2024-06-18 01:58:02 +03:00
Land Cover Mapping
Обновлено 2023-06-12 23:24:38 +03:00
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
Обновлено 2023-05-01 23:51:33 +03:00
Shared utility scripts for AI for Earth projects and team members
Обновлено 2023-04-27 04:58:37 +03:00
This is an API Framework for AI models to be hosted locally or on the AI for Earth API Platform (https://github.com/microsoft/AIforEarth-API-Platform).
Обновлено 2023-01-03 18:27:33 +03:00
A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.
Обновлено 2022-12-07 20:55:41 +03:00
The AI for Earth API Platform is a distributed infrastructure designed to provide a secure, scalable, and customizable API hosting, designed to handle the needs of long-running/asynchronous machine learning model inference. It is to be used with the AI For Earth API Framework (https://github.com/microsoft/AIforEarth-API-Development).
Обновлено 2022-08-01 23:32:15 +03:00
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
Обновлено 2021-03-13 01:26:16 +03:00