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25 search results found

Imgaug ⭐ 13,682

Image augmentation for machine learning experiments.

Data Augmentation Review ⭐ 1,499

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

Glimpse Android ⭐ 581

A content-aware cropping library for Android

Harvesters ⭐ 425

Image Acquisition Library for GenICam-based Machine Vision System

Metrabs ⭐ 328

Estimate absolute 3D human poses from RGB images.

Impy is a Python3 library with features that help you in your computer vision tasks.

Pycrop Yield Prediction ⭐ 80

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

Smart Media ⭐ 78

Smart Media enhancements for WordPress

nuclear compartments, subcompartments, nuclear organization, Hi-C, autoencoder

Clarifai Php ⭐ 24

Clarifai API client for PHP

Nindamani The Weed Removal Robot ⭐ 23

Nindamani, the AI based mechanically weed removal robot

Farmer Call Center ⭐ 22

AI-based voice-assisted Contact Center for assisting Farmers for their problems.

Seven Segment Ocr ⭐ 21

Computer vision project to automatically recognize digits characters in a seven-segments display

Dissecting Image Crops ⭐ 20

When can you tell whether an image has been cropped or not?

Agrodocrevamp ⭐ 19

Agro Doc is basically an app that will help farmers easily pinpoint their crop diseases using their smartphones. The app uses a pre trained tensorflow model to identify issues and then suggest possible cures for the crop infections/diseases. #AndroidDevChallenge

Recognising faces using Vision API, TensorFlow & Google Cloud Machine Learning

Fsg-Pp's purpose is to automate profile picture searching using machine learning!

Truth And Crop ⭐ 13

Application for ground-truthing semantic segmentation datasets in PyQt4/OpenCV.

Data Modeling ⭐ 11

Crop Analyzer Data Modeling

Plantdiseasedetectionapp ⭐ 11

Plant Disease Detection using ML model and Android App

Poker Hand Recognition ⭐ 9

Classification and recognition of poker hands via OpenCV and machine learning algorithms

Smart Agricultural System ⭐ 7

Smart agricultural system to recommend most profitable crops to farmers

Keras Eval ⭐ 7

An evaluation abstraction for Keras models.

Kaggle Camera ⭐ 7

My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]

Instance Identification ⭐ 6

Instance Identification on ImageNet VID using triplet loss and online triplet mining.

Soil Type Classification ⭐ 6

https://soilnet.herokuapp.com/ Created a Soil Classification model using Deep Learning which also suggests Crops in 6 different languages and deployed on Heroku. Soil Classification is one of the most important topics, for Farmers and Agriculture Researchers.

Crop_prediction ⭐ 5

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authentic datasets of Annual Rainfall, WPI Index for about the previous 10 years. This implementation proved to be promising with 93-95% accuracy.

General purpose AI experiments. Use face detection to identify politics figure, automatic face priority crop, image caption and labelling.

machine learning and ai based crop consultant

Crop Yield Predictor ⭐ 5

A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.

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