CodelPlant

Codelplant stat. multi-regression M-learning for leaves segmentation

Brought to you by: fernandoipb, fernandopr

Add a Review

Downloads: 0 This Week

Last Update: 2021-05-18

Download

Add to Preferred Sources

CodelPlant is based on the creation of a statistical multi-regression decision tree from data obtained by pixel RGB-HSB machine learning analysis. The model is training with human observation, so the human factor is being entered the process.

Project Samples

Project Activity

See All Activity >

Follow CodelPlant

CodelPlant Web Site

Other Useful Business Software

Veeam Data Platform v13.1 - Get Your Free Trial

Secure by design, portable by default. Recover clean, fast, anywhere. Start a free trial.

Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.

Try it Free

Rate This Project

User Reviews

Be the first to post a review of CodelPlant!

Additional Project Details

Registered

2019-02-13

Report inappropriate content

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Start Free

Recommended Projects

Machine Learning From Scratch
Bare bones NumPy implementations of machine learning models
DensePose
A real-time approach for mapping all human pixels of 2D RGB images
Interpretable machine learning
Book about interpretable machine learning
Color Converter
Tool to convert colors between different formats
statsmodels
Statistical models with python using numpy and scipy. Currently covers linear regression (with ordinary, generalized and weighted least squares), robust linear regression, and generalized linear model, discrete models, time series analysis and other statistical methods.