Stars
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Rail3D: Multi-Context Point Cloud Dataset and New Approach for Railways Semantic Understanding
Basic tutorial for the 3DFin workflow in CloudCompare
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Label Studio is a multi-type data labeling and annotation tool with standardized output format
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
YOLO CarCounter with OpenCV (YOLO-CarCounter-with-cv2)
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
[NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
Deepness is a remote sensing plugin that enables deep learning inference in QGIS
EuroSAT: Land Use and Land Cover Classification with Sentinel-2
Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale