Alternatives and similar repositories for detectron2app

Users that are interested in detectron2app are comparing it to the libraries listed below

• motokimura / spacenet_building_detection
  Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
  ☆202Updated 2 years ago
• cuicaihao / split_raster
  Split Raster is an open-source and highly versatile Python package designed to easily break down large images into smaller, more manageab…
  ☆27Updated 8 months ago
• syamkakarla98 / Satellite_Imagery_Analysis
  Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
  ☆267Updated 3 years ago
• Paulymorphous / skeyenet
  Road and Building Segmentation in Satellite Imagery
  ☆144Updated 2 years ago
• avanetten / cresi
  Road network extraction from satellite imagery, with speed and travel time estimates
  ☆196Updated 3 years ago
• ArkaJU / U-Net-Satellite
  Road Detection from satellite images using U-Net.
  ☆62Updated 2 years ago
• chrieke / InstanceSegmentation_Sentinel2
  🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
  ☆426Updated 2 years ago
• fuzailpalnak / building-footprint-segmentation
  Building footprint segmentation from satellite and aerial imagery
  ☆164Updated last year
• martibosch / detectree
  Tree detection from aerial imagery in Python
  ☆277Updated this week
• DIUx-xView / xView2_baseline
  Baseline localization and classification models for the xView 2 challenge.
  ☆233Updated 2 years ago
• sshuair / torchsat
  🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
  ☆397Updated 5 years ago
• jensleitloff / CNN-Sentinel
  Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)
  ☆194Updated 4 years ago
• ayushdabra / dubai-satellite-imagery-segmentation
  Multi-Class Semantic Segmentation on Dubai's Satellite Images.
  ☆87Updated 2 years ago
• csaybar / EEwPython
  A series of Jupyter notebook to learn Google Earth Engine with Python
  ☆287Updated last year
• rodekruis / automated-building-detection
  Automated Building Detection using Deep Learning
  ☆102Updated last year
• CosmiQ / solaris
  CosmiQ Works Geospatial Machine Learning Analysis Toolkit
  ☆439Updated 3 months ago
• zorzi-s / projectRegularization
  Regularization of Building Boundaries using Adversarial and Regularized losses
  ☆145Updated 2 years ago
• attibalazs / awesome-remote-sensing
  Collection of Remote Sensing Resources
  ☆113Updated 3 weeks ago
• Mstfakts / Building-Detection-MaskRCNN
  Building detection from the SpaceNet dataset by using Mask RCNN.
  ☆266Updated 4 years ago
• manideep2510 / eye-in-the-sky
  Satellite Image Classification using semantic segmentation methods in deep learning
  ☆317Updated 2 years ago
• acgeospatial / Satellite_Imagery_Python
  Sample scripts and notebooks on processing satellite imagery Python Geospatial raster
  ☆203Updated 9 months ago
• shakasom / Deep-Learning-for-Satellite-Imagery
  Deep learning courses and projects
  ☆95Updated 7 years ago
• reachsumit / deep-unet-for-satellite-image-segmentation
  Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
  ☆344Updated 6 years ago
• cordmaur / WaterDetect
  Water Detect Algorithm
  ☆215Updated 8 months ago
• iamtekson / deep-learning-for-earth-observation
  Application of deep learning for earth observation.
  ☆124Updated last year
• rsangers / explainable_perception
  ☆34Updated 4 years ago
• patrickcgray / open-geo-tutorial
  Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
  ☆330Updated 3 years ago
• PratyushTripathy / Landsat-Classification-Using-Neural-Network
  All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A s…
  ☆72Updated 5 years ago
• msahamed / semantic_segmentation_satellite_image
  This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images
  ☆19Updated 7 years ago
• jordancaraballo / nga-deep-learning
  NGA Deep Learning
  ☆28Updated 4 years ago