Movement trajectory classes and functions built on top of GeoPandas

Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

データサイエンス100本ノック（構造化データ加工編）

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

A CNN model for the analysis of the "Generalstabskarta

Techniques for deep learning with satellite & aerial imagery

This repository contains code for the paper "Automatic Road Extraction from Historical Maps using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II map"

HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from historical maps.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Example notebooks on building PyTorch, preparing data and training as well as an updated project from a PyTorch MaskRCNN port

Sample code and data for Medium post on https://medium.com/fullstackai/how-to-train-an-object-detector-with-your-own-coco-dataset-in-pytorch-319e7090da5

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

Tensorflow 2 implementation of MASK-RCNN

MaskRCNN object detection implemented by Keras.

Instance Segmentation

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Building Extraction / Semantic Segmentation from remote sensing images

Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction