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Name: Swapnil Dadabhau Daphal
Type: User
Company: Ph. D. Scholar
Bio: Computer vision enthusiast Python, C++, MATLAB, DevOps
Location: Pune, Maharashtra, India
Name: Swapnil Dadabhau Daphal
Type: User
Company: Ph. D. Scholar
Bio: Computer vision enthusiast Python, C++, MATLAB, DevOps
Location: Pune, Maharashtra, India
Flask App Which detects 15 variety of plants [Pepper , Potato , Tomato ]
Learning Process- R
This is the work done by mitaoe students
Accounting to almost 6.0% of the total tomato production in the world. Tomato is the third most significant vegetable of India by sharing 8.5% of all out vegetable creation.This shows The importance of tomatoes in India. In this section we discuss a solution wherein farmers can take pictures of diseased tomato leaves , the image taken is sent to the flask server, the flask server has a pre-trained CNN model. The image is fed as input to the CNN model. The CNN model is already trained on diseased tomato leaf images consisting of the 9 different types of tomato leaf diseases,the model can also predict if the leaf is healthy.The Dataset used here is the plant village dataset. Each tomato leaf disease consists of around 700 images. The output of the model is the type of disease the plant is affected with or if the leaf is healthy.
Course material for a tutorial on Monte Carlo for uncertainty evaluation with Python
Image classifier for multimodal input (Image + non-Image features). Useful when we have additional data for images which may be useful for classification
Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project
Object localization in images using simple CNNs and Keras
Algorithms related to image processing using OpenCv libraries
Codes of the paper "PFLU and FPFLU: Two novel non-monotonic activation functions in convolutional neural networks"
My project plan was based on an image dataset of the leaves of a specific group of crops called "Plant Village". I used this dataset to build four custom trained models using machine learning (ML) techniques. Next, I deployed these custom ML models to make them available to the end-users. These models are accessible via a website and via a nice android mobile application using Flutter
Plants App is my graduation project built using android studio combined with deep learning code. It is an application to detect plants leaves disease using deep learning CNN model
Image feature database creation of crop type identification
Speaker Recognition System using MFCC and GMM.
B.E Project
This implements SVM to solve binary classification problems
This repository contains the samples we used for creating resume
Code repository for Tactode tiles recognition using: (i) machine learning with HOG&SVM, (ii) deep learning with some neural networks like VGG16/19, ResNet152, MobileNetV2, YOLOv4 and SSD, (iii) matching of handcrafted features with SIFT, SURF, ORB and BRISK, and (iv) template matching.
Simple tutorials using Google's TensorFlow Framework
Convert TensorFlow Lite models (*.tflite) to ONNX.
template image processing library
A simple CNN model to detect and classify ten different types of tomato leaf disease.
Comparison of CNN Models by performing classification on Medical MNIST data-set via Transfer Learning.
This repository is just for test purpose
Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.
K-means clustering algorithm is trained over GLCM texture property features of the concrete images with crack to detect the crack location
Vehicle detection, tracking and counting by blob detection with OpenCV on c++.
A novel dual-tree complex wavelet transform based Convolutional Neural Network (WCNN) to perform organ tissue segmentation from medical images.
Predicting wine quality
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.