Alternatives and similar repositories for Object-Detection-in-Satellite-Imagery-Using-YOLOv3-:

Users that are interested in Object-Detection-in-Satellite-Imagery-Using-YOLOv3- are comparing it to the libraries listed below

• sriramelango / CNN-Mosquito-Detection
  NASA SEES (2021): CNN Mosquito Detection Research
  ☆12Updated 2 years ago
• salarghaffarian / Train-Test-Validation-Dataset-Generation
  This repository contains the files for running the Patchify GUI.
  ☆11Updated 3 years ago
• gicait / centroid-unet
  Centroid-UNet is deep neural network model to detect centroids from satellite images.
  ☆31Updated 3 years ago
• behzad89 / Enhancement_of_MODIS_NIDVI
  Enhancement of MODIS NIDVI to 10m resolution using U-Net
  ☆30Updated last year
• Hejarshahabi / GeoTagged_ImageChip
  A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.
  ☆14Updated 3 years ago
• Kalit31 / Land-Cover-Analysis
  Land Cover Change Detection using Satellite Image Segmentation.
  ☆49Updated 3 months ago
• aj1365 / DeepForest-Wetland-Paper
  Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.
  ☆15Updated 3 years ago
• satellite-image-deep-learning / model-training-and-deployment
  Training and deployment of deep learning models for satellite & aerial imagery
  ☆54Updated last week
• iamtekson / geospatial-machine-learning
  Machine learning in geospatial data
  ☆28Updated last year
• DynaSlum / satsense
  Satsense is a Python library for land use/cover classification using satellite imagery
  ☆24Updated 4 years ago
• ManuelHuber-Github / Agricultural-SandboxNL
  Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of th…
  ☆21Updated 3 years ago
• ubarsc / pyshepseg
  Python implementation of image segmentation algorithm of Shepherd et al (2019) Operational Large-Scale Segmentation of Imagery Based on I…
  ☆11Updated last week
• stolarinhoo / Sentinel-2-Satellite-Images-Semantic-Segmentation-with-U-NET_Deep-Learning-approach
  Sentinel-2 Satellite Images Semantic Segmentation with U-NET
  ☆12Updated 3 months ago
• radiantearth / Nasa_harvest_field_boundary_competition
  ☆23Updated 2 years ago
• r-wenger / land-use-land-cover-datasets
  List of datasets and codes for remote sensing LULC applications.
  ☆39Updated 7 months ago
• maxwell-geospatial / wvview_geodl_examples
  Deep learning examples for geospatial deep learning
  ☆29Updated 3 years ago
• Doodleverse / segmentation_gym
  A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using http…
  ☆46Updated last month
• ntelo007 / road_detection_mtl
  Road Detection from Remote Sensing Imagery using Deep Learning Techniques
  ☆17Updated 2 years ago
• waldeland / deep_learning_forest_monitoring
  Estimate vegetation height from satellite images using deep learning.
  ☆21Updated 2 years ago
• knwin / Building-Footprint-Extraction-From-Satellite-Images-With-Deep-Learning
  Practical Project for Semantic Segmentation of Building Footprint from Satellite Images
  ☆22Updated 3 years ago
• jonathanventura / urban-tree-detection
  ☆65Updated 9 months ago
• iamtekson / Deep-learning-for-satellite-imagery
  This repo contains the code for satellite image analysis using deep learning.
  ☆18Updated 3 years ago
• AlbughdadiM / satellite-sam-dashboard
  This app integrates the Segment Anything Model (SAM) with Sentinel-2 data. The app is built using Dash Plotly and dash leaflet. It allows…
  ☆30Updated last year
• radiantearth / model_ecaas_agrifieldnet_gold
  AgriFieldNet Model for Crop Detection from Satellite Imagery
  ☆20Updated 2 years ago
• jordancaraballo / nga-deep-learning
  NGA Deep Learning
  ☆28Updated 3 years ago
• superlinear-ai / agoro-field-boundary-detector
  Detect field boundaries using satellite imagery.
  ☆40Updated 3 years ago
• lhalloran / LandSurfaceClustering
  Land surface classification using remote sensing data with unsupervised machine learning (k-means).
  ☆33Updated 5 years ago
• jonathanventura / urban-tree-detection-data
  Dataset for training and evaluating tree detectors in urban environments with aerial imagery
  ☆32Updated 9 months ago
• burakekim / LULCMapping-WV3images-CORINE-DLMethods
  Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images
  ☆19Updated 2 years ago
• simon-donike / Remote-Sensing-SRGAN
  ☆18Updated 9 months ago