souvikmajumder26 / Land-Cover-Semantic-Segmentation-PyTorch
π£ Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
β136Updated last week
Alternatives and similar repositories for Land-Cover-Semantic-Segmentation-PyTorch:
Users that are interested in Land-Cover-Semantic-Segmentation-PyTorch are comparing it to the libraries listed below
- A collection of machine learning projectsβ65Updated 6 years ago
- Generative Adversarial Networks test from Coursera's Advanced Machine Learning. Executed on Colab.β38Updated 3 months ago
- β37Updated 5 years ago
- Advanced ML Project : An Orca Call classifier using mel-spectrograms as audio representations to detect Killer whalesβ48Updated 4 years ago
- House price estimation from visual and textual features using both machine learning and deep learning modelsβ46Updated 5 months ago
- Classification of flowers from Oxford Flowers 102 datasetβ34Updated last year
- This repo contains the implementation of some new papers on some advanced topics of machine learning e.g. meta-learning, reinforcement-leβ¦β50Updated 2 years ago
- Resources for deep learning with satellite & aerial imageryβ30Updated 2 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).β94Updated 3 years ago
- This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoinβ¦β76Updated 3 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches β¦β88Updated last year
- Training and deployment of deep learning models for satellite & aerial imageryβ55Updated this week
- Multi-Class Semantic Segmentation on Dubai's Satellite Images.β81Updated 2 years ago
- Application of deep learning for earth observation.β107Updated 10 months ago
- Annotation of datasets for deep learning applied to satellite and aerial imageryβ47Updated this week
- Software for working with satellite & aerial imagery ML datasetsβ130Updated this week
- YouTube Academic Projects Series is a youtube video series by Spartificial that provides free certified Machine Learning related student β¦β32Updated last year
- Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.β245Updated 2 years ago
- Expandable Datasets for Earth Observationβ174Updated 2 months ago
- A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using httpβ¦β47Updated last week
- Official implementation of SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters (Oral Presentβ¦β18Updated last year
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI developmentβ¦β59Updated 3 years ago
- Codes for "A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches"β16Updated last year
- A deep learning (neural network) land cover classification project using satellite images (remote sensing).β25Updated last year
- This is the ResNet50 implementation of the Eurosat dataset.β17Updated 3 years ago
- Individual tree crown delineation in optical remote sensing imagesβ96Updated 8 months ago
- Object recognition in satellite images (Dior Dataset) using RetinaNet and YoloV5β19Updated 4 years ago
- Satellite Vu submission for the AWS Disaster Response hackathonβ54Updated 2 years ago
- A Spatio-temporal Framework for Soil Property Prediction with Digital Soil Mapping (DSM)β43Updated 6 months ago
- Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.β346Updated 11 months ago