Code used for training Faster R-CNN on DOTA
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Updated
Jul 7, 2018 - Python
Code used for training Faster R-CNN on DOTA
[ISPRS 2026] The P3 Dataset: Pixels, Points and Polygons for Multimodal Building Vectorization
Correct drone, aerial and satellite imagery to surface reflectance.
RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.
ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling [ICCV 2025]
Testing simple pixel-wise classification of Montreal buildings from aerial photography
Generalized Referring Expression Segmentation on Aerial Photos with Aerial-D, a 37,288-image dataset with 1.52M referring expressions covering instances, groups, and semantic regions across 21 categories.
Drone Software Development
AerialWare calculates and draws paths for aerial photography
The spatial distribution of a dye tracer is evaluated from UAV-based RGB imagery, processed through a robust and systematic approach developed to detect rhodamine dye presence and estimate its concentration at the water surface.
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