maritaganta Goto Github PK

activefire

Active fire detection and segmentation with CNN

all_in_one

asymmetric_constellation

clone

cloud-segmentation-from-satellite-imagery

This repository contains the first model which I tried on cloud dataset from sentinel satellite for cloud segmentation. The model was UNET and the loss function used was BinaryCrossEntropy with Logits. For, validation IoU was used. Accuracy of 81.39% could be achieved on the validation set using this model.

cloudless

Deep learning pipeline for orbital satellite data for detecting clouds

computer_vision_tools

Little snippets of handy computer vision solutions

coverage_tool

enigma

face-landmark-detection

iot-obstacle-detection-device

Here you can find the arduino code to connect a sonar sensor and nodeMCU for obstacle detection.

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

m811

machinelearningfromscratch

In this repo I save models that I have built from scratch for my future reference. I am always building on top of these basic knowledge on my projects.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mrac_sensing_workshop

ransacsolver

My own implementation of the RANSAC algorithm using the fitting model LineModelND

remote-sensing-with-python

s2cloudmask

Sentinel-2 Cloud and Shadow Detection using Machine Learning

satellite-image-processing

Here are some of my go-to scripts and processes that I use for the preprocessing of satellite imagery for qualitative analysis.

sql_stories

streamlit-folium

Streamlit Component for rendering Folium maps

test-integration-with-pycharm

udacity-computer-vision-nanodegree

I am taking Udacity's Computer Vision Nanodegree to develop a better understanding of computer vision. To graduate from the nanodegree, I am working on 3 different projects, which I am also submitting here.

urban-octo-doodle

wildfire-detection

Using Vision Transformers for enhanced wildfire detection in satellite images

wildfire-detection-from-satellite-images-ml

In this project, we detect forest wildfire from given satellite images using deep learning.

wildfiredetection

Using U-Net Model to Detect Wildfire from Satellite Imagery

xview-yolov3

xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)