Offered By: IBM
Agriculture. Advanced image classification using ML
In this lab, we will learn the basic methods of images classification.
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At a Glance
In this lab, we will learn the basic methods of images classification.
About
In this lab, we will study how the quality of agricultural products can be classified based on photographs. Through the example of evaluating the quality of lemons, we will learn to form a DataSet from photographs and compare different types of classifiers. At the end, we will create a report that forms a DataSet of the lemons quality.
In this lab, we will learn the basic methods of images classification. The laboratory consists of four stages:
- Download and preliminary transformation of images
- Create image features
- Compare different classical classification methods
- Create function for lemon quality classification
Prerequisites
- Python - basic level
- numpy - middle level
- SeaBorn - basic level
- Matplotlib - basic level
- mahotas - middle level
- scikit-learn - middle level
- pandas — basic level
After completing this lab, you will be able to:
- Download and transform images
- Create features of images
- Build different classification models
- Build a DataSet with quality level of agricultural products.
Course Code
GPXX0UEREN:REVIEW-773