souvik0306/Soil-Type-Classification souvik0306/Soil-Type-Classification

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • Created over 2 years ago
  • Updated about 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
souvik0306/Soil-Type-Classification
github

souvik0306

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

• Designed a classification model with 5 classes and 98% testing accuracy using a Convolutional Neural Network. • Applied Data Augmentation and reduced validation losses by 30% by applying MobileNetV2 Architecture.

More Repositories

1

Book-Bot

This is a robot with Barcode + QR Code scanning capabilities designed for collecting books and navigation across a campus. The robot will mould the use of Computer Vision for ensuring safe collection and identification of books, all this while being powered by a Raspberry Pi for faster processing.
Python
5
star
2

Path-Navigator-Robot

Path Planner Robot for effective route discovery
MATLAB
3
star
3

computer-vision

Repo containing basic computer vision modules
Python
3
star
4

3D-Object-Detection

Reviewed literature for Object Depth Estimation using 2D Images using NYU Depth Dataset and used Google’s MediaPipe Objectron dataset to estimate object poses using ML models.
Python
3
star
5

Thermal-imaging-using-MATLAB

Creating a thermal image of a given picture by breaking it down into its RGB components and comparing it with a processed color bar
MATLAB
3
star
6

Semantic-Segmentation-of-Satellite-Imagery

• Devised a U-Net-based Image Segmentation Model for land cover analysis on 5 classes from LandCover Dataset. • Developed a network based on the ResNet34 Architecture and achieved 0.72 mean Intersection over Union (IoU).
Jupyter Notebook
3
star
7

Traffic-Sign-Classifier

An autonomous braking system that uses sensor data from Radar and Computer Vision to localize the accurate position of an object around a vehicle using Neural Networks. An algorithm to fuse the data from sensors and camera to perform odometry operations
Jupyter Notebook
3
star
8

3D-Point-Cloud-Map

• Produced 3D point cloud data maps from 2D monocular RGB image-based depth maps using Open3D functions. • Exploited a PointNet based Object Detection model to classify 3D point cloud data with 81% training accuracy.
Jupyter Notebook
2
star
9

Jet-Engine-Health-Prediction

• Predicted Remaining Useful Life (RUL) for turbofan jet engines using a Random Forest Classifier Model. • Performed Exploratory Data Analysis on NASA’s Dataset and analyzed feature correlation using Seaborn. • Applied hyperparameter optimization using Randomized Search CV and increased F1-Score to an overall 91.2%.
Jupyter Notebook
2
star
10

YuMi-Robot-Modelling-and-Control

YuMi Robot Modelling using MATLAB
MATLAB
1
star
11

Earthquake-Prediction

HTML
1
star
12

Convolutional-Neural-Network

Jupyter Notebook
1
star
13

Cash-Sanitation-Model-for-COVID-19

A model that can sanitize currency notes by projecting Ultra Violet-C Light (UV-C) of 254nm to deactivate the COVID-19 virus.
C++
1
star
14

Reinforcement-Learning-Robot

• Programmed a quadruped robot to exhibit walking gait using PyTorch-based Reinforcement Learning model. • Optimized learning rate and other hyperparameters to marginally enhance Mean Reward of the model by 14%.
Python
1
star
15

Automated-Anaesthesia-Control-System

(Bio-Medical Instrumentation Project 2020-21)-Automated Anaesthesia Control System interfaced with a Mobile Application to allow the exchange of real-time body vitals using Internet of Things (IoT) and help reduce human errors encountered during manual administration of anaesthesia
C++
1
star