venkanna37

Label-Pixels

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.

radiometric_corrections_tool

Radiometric corrections tool

Turf.js-Examples

Examples of turfjs

gisday2021-wii

3D_college_campus

Internship project in bachelors

pyRaster

Python basic programs for raster data processing

CameraTraps

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

Drives

Map of Bangalore Field Mapping Status

cloud-shadow-masking

This is the code repository for IEEE IGARSS 2023 article on "Cirrus Cloud and Shadow Masking in Optical Satellite Using Deep Learning for Small Land Holding Farmer Plot.

cs231n.github.io

Public facing notes page

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

keras_ordinal_categorical_crossentropy

Keras implementation of a loss function for ordinal categorical crossentropy.

linkage-mapper

ArcGIS tools to automate mapping and prioritization of wildlife habitat corridors

Measure

osm-tag-stats

filter OSM features, find stats and export GeoJSON using OSM QA Tiles

Polygonization-by-Frame-Field-Learning

This repository contains the code for our fast polygonal building extraction from overhead images pipeline.

SpSeg

Tool for species-level segregation of camera-trap images. The 'Species Segregator' is currently trained for Central Indian Landscape.

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

venkanna37.github.io

Web page