Pinned Repositories
3D-MiniNet
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
BANet
DeepClustering
Methods and Implements of Deep Clustering
DeepLabV3-Plus
Tensorflow 2.3.0 implementation of DeepLabV3-Plus
deepnet-for-semantic-labeling-photogrammetry
2D semantic segmentation that assigns labels to multiple object categories on Potsdam dataset :rocket:
eye-in-the-sky
Satellite Image Classification using semantic segmentation methods in deep learning
get-started-python
A Python application and tutorial that use Flask framework to provide a REST API to receive requests from the UI. The API then persists the data to a Cloudant database.
ISPRS_S2FL
Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS JP&RS, 2021.
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
aarabhiputty's Repositories
aarabhiputty/models
Models and examples built with TensorFlow
aarabhiputty/tf-keras-SegNet
SegNet including indices pooling for Semantic Segmentation with tensorflow and keras
aarabhiputty/SCAttNet
Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images
aarabhiputty/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
aarabhiputty/awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
aarabhiputty/DeepLabV3-Plus
Tensorflow 2.3.0 implementation of DeepLabV3-Plus
aarabhiputty/ISPRS_S2FL
Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS JP&RS, 2021.
aarabhiputty/Satellite_Imagery_Analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
aarabhiputty/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
aarabhiputty/BANet
aarabhiputty/LiteSeg
Pytorch implementation for LiteSeg
aarabhiputty/DeepClustering
Methods and Implements of Deep Clustering
aarabhiputty/deepnet-for-semantic-labeling-photogrammetry
2D semantic segmentation that assigns labels to multiple object categories on Potsdam dataset :rocket:
aarabhiputty/3D-MiniNet
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
aarabhiputty/eye-in-the-sky
Satellite Image Classification using semantic segmentation methods in deep learning
aarabhiputty/Sentinel2-clustering
aarabhiputty/puttym.github.io
A blog on space tech and programming
aarabhiputty/MiniNet-v2
Official implementation of MiniNet-v2. MiniNet: An Efficient Semantic Segmentation ConvNet for Real-time Robotic Applications
aarabhiputty/get-started-python
A Python application and tutorial that use Flask framework to provide a REST API to receive requests from the UI. The API then persists the data to a Cloudant database.
aarabhiputty/remote-sensing-with-python
aarabhiputty/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
aarabhiputty/tensorflow_unpooling
Unpooling of tensor that has been pooled using max_pool_with_argmax