README images

README.md

@@ -6,15 +6,13 @@ size_categories:
 - 10K<n<100K
 ---
 
-# Matthiola incana Leaf Image Classification dataset
-**Matthiola incana Leaf Image Classification(MiLIC) dataset** is intended to create a model for classifying images of Matthiola incana leaves into **single-flowered** leaf or **double-flowered leaf**.
+# Matthiola incana leaf dataset
+This dataset is intended to create a model for classifying images of Matthiola incana leaves into **single-flowered** leaf or **double-flowered leaf**.
 
 # Matthiola incana 
-<img src="https://cdn-uploads.huggingface.co/production/uploads/6350ca6607080feca52ee6e1/1CbJpwx4Lcxxi208HkTjm.png" alt="Image description" width="50%">
-
 Matthiola incana, a member of the family Brassicaceae, is an ornamental plant cultivated worldwide for its beautiful flowers. This species exhibits two flower forms: single and double flowers. The market for single-flowered plants is extremely limited and their commercial value is lower than that of double-flowered plants. Therefore, to efficiently produce high-value M. incana, farmers select double-flowered plants during the seedling stage, a few weeks after sowing, based on cotyledon characteristics. However, this identification is not simple and can be extremely difficult for inexperienced individuals.Using this dataset, you can create a classification model for Matthiola incana.
 
-# About the MiLIC dataset
+# About the dataset
 It contains data on the following varieties of M. incana:
 
 * Quartet_Apricot
@@ -26,39 +24,4 @@ Although there are two existence folders for the same variety, such as Quartet_A
 
 Each folder is further divided by {date}_{single or double}.
 The purpose of this data is to perform binary classification between **single** and **double**.
-Each JPG image is named using the date of data collection and the individual number. Each individual in Quartet_Apricot, Quartet_Apricot2, Quartet_Blue, ..., Quartet_Rose2 is completely separate. For example, Quartet_Apricot, Quartet_Apricot2, and Quartet_Blue each contain a JPG image of individual number 1, but these are completely separate individuals.
-The directory structure of Quartet_Apricot is shown below as an example.
-```
-Quartet_Apricot/
-├── KA230307_single/
-│   ├── KA230307 (1).JPG
-│   ├── KA230307 (100).JPG
-│   └── ... 
-├── KA230307_double/
-│   └── (JPG files)
-├── KA230308_single/
-│   └── (JPG files)
-├── KA230308_double/
-│   └── (JPG files)
-├── KA230309_single/
-│   └── (JPG files)
-└── KA230309_double/
-    └── (JPG files)
-
-```
-
-This dataset splits images not only by label but also by date, so when using it, we recommend downloading the dataset using the git clone command.
-
-```
-git clone https://huggingface.co/datasets/Kentaro-Machida/Matthiola-incana-Leaf-Image-Classification
-```
-
-
-# Data collection
-MiLIC dataset was created by agricultural experts at Mizuho Agricultural High School in Tokyo, Japan, in collaboration with the Nakajo Laboratory at Tokyo University of Agriculture and Technology.
-
-We planted M.incana seeds in trays and tracked whether each individual became a single-flower or a double-flower. Images were taken between 2 and 3 weeks after planting the seeds.
-
-# License
-The Creative Commons Attribution 4.0 International License (CC BY 4.0) allows users to share, copy, adapt, and build upon a work, even for commercial purposes, as long as proper credit is given to the original creator.