Aerial Imagery
Showing 13 of 13 projects
A curated list of satellite and aerial imagery datasets with annotations for computer vision and deep learning tasks.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
An end-to-end Python pipeline for semantic segmentation of aerial and satellite imagery to extract features like buildings and roads.
An open-source bidirectional digital radio link system for UAVs using standard WiFi hardware and custom protocols.
An open-source bidirectional digital radio link system for UAVs using standard WiFi hardware, offering long-range video, telemetry, and RC control.
A simple digital data transmission system using Raspberry Pi and WiFi modules for low-latency HD video, telemetry, and control.
A digital data transmission system using Raspberry Pi and WiFi modules for low-latency HD video, telemetry, and control data.
An open service providing a commons of openly licensed aerial and satellite imagery and map layer services.
An open-source web tool for stitching aerial photos into georeferenced maps using a browser-based interface.
FLAME dataset and deep learning models for fire detection in aerial imagery using UAVs, supporting classification and segmentation tasks.
A configurable Mastodon bot that posts geotagged aerial imagery of random locations worldwide.
A curated index of aerial and satellite imagery sources for mapping, with efficient geographic referencing.
A bilateral awareness network combining transformers and convolutions for semantic segmentation of very fine resolution urban scene images.
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