zmf0507 / Ship-detection-in-satellite-images
The project aims to detect ships in million pixels satellite images using different object detection algorithms. This makes use of various libraries and wrappers for object detection frameworks such as UNET, YOLO, Mask R-CNN, SSD, Faster R-CNN, RETINA-NET etc which might help beginners get started with object detection and computer vision easily…
☆13Updated 4 years ago
Alternatives and similar repositories for Ship-detection-in-satellite-images:
Users that are interested in Ship-detection-in-satellite-images are comparing it to the libraries listed below
- This repository contains the project "Change Detection in Land Usage using Remote Sensing Imangery" completed at Bhaskaracharya Insitutut…☆15Updated 5 years ago
- Using Satellite Imagery to detect ships (Basic Object Detection)☆15Updated 5 years ago
- 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
- Satellite Image Augmetation with GANs☆19Updated 2 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆49Updated last month
- Ship detection and localization from satellite images☆21Updated last year
- NASA SEES (2021): CNN Mosquito Detection Research☆12Updated 2 years ago
- Automatically detect solar panels on satellite imagery.☆16Updated 4 years ago
- Land surface classification using remote sensing data with unsupervised machine learning (k-means).☆33Updated 5 years ago
- Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remo…☆32Updated 3 years ago
- multispectral semantic segmentation network for remote sensing images☆37Updated 2 years ago
- [Remote Sensing] A Swin Transformer-based Encoding Booster Integrated in U-shaped Network☆14Updated 2 years ago
- This repository contains the files for running the Patchify GUI.☆11Updated 3 years ago
- Road Detection from Remote Sensing Imagery using Deep Learning Techniques☆16Updated 2 years ago
- Centroid-UNet is deep neural network model to detect centroids from satellite images.☆31Updated 2 years ago
- Using Vision Transformers for enhanced wildfire detection in satellite images☆24Updated 2 years ago
- ☆11Updated 4 years ago
- Instance Aware segmentation of Agricultural Fields Using Mask R-CNN (Computer vision project)☆18Updated last year
- python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.☆32Updated 2 years ago
- e-farmerce aims to solve the problem of Automated Crop Identification using Satellite Imagery and Deep Learning.☆17Updated 6 years ago
- Airplanes are detected on images taken from satellite☆21Updated 5 months ago
- Detected cloud in publically available satellite imagery from Sentinal 2 mission. Team project for the CloudNCloud competition hosted by …☆10Updated 2 years ago
- Buildings segmentation from satellite imagery and damage classification for each build☆24Updated 6 years ago
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆19Updated 2 years ago
- The following model uses hybrid CNN- RNN model for classification of each pixel to its corresponding classes. Further the code is develop…☆14Updated 5 years ago
- Aerial Image segmentation by PyTorch☆30Updated last year
- Urbanization detection using computer vision algorithms to reduce the reliance on the data of government surveys, which will speed up the…☆16Updated 5 years ago
- Tool for species-level segregation of camera-trap images. The 'Species Segregator' is currently trained for Central Indian Landscape.☆15Updated 6 months ago
- This Keras code is for the paper A. Jamali, S. K. Roy, J. Li and P. Ghamisi, "[Neighborhood Attention Makes the Encoder of ResUNet Strong…☆15Updated last year
- Detecting parking bays with satellite imagery☆13Updated 4 years ago