Update README.md

README.md

@@ -20,44 +20,49 @@ This dataset contains 100 images of various fruits and vegetables captured under
 
 The data consists of RGB images, sparse spectral samples and instance segmentation masks.
 
-From the 100 images, we extract >400,000 spectral samples, of which >83,000 belong to one of the 15 classes in the dataset. The rest of the spectra can be used for negative sampling when training classifiers.
+From the 100 images, we extract >430,000 spectral samples, of which >85,000 belong to one of the 18 classes in the dataset. The rest of the spectra can be used for negative sampling when training classifiers.
 
 ### Classes
 
-The dataset contains 15 classes:
-- Pink Lady Apple
-- Granny Smith Apple
-- Royal Gala Apple
-- Plastic Apple
-- Cucumber
-- Melon
-- Yellow Pepper
-- Green Pepper
-- Orange Pepper
-- Lemon
-- Tomato
-- Cherry Tomato
-- Plastic Tomato
-- Orange
-- Easy Peeler Orange
+The dataset contains 18 classes:
+ - lemon - 8275 total samples
+ - melon - 9507 total samples
+ - yellow pepper - 4752 total samples
+ - cucumber - 227 total samples
+ - plastic apple - 6693 total samples
+ - pink lady apple - 17311 total samples
+ - royal gala apple - 21319 total samples
+ - tomato - 3748 total samples
+ - cherry tomato - 360 total samples
+ - plastic tomato - 569 total samples
+ - green pepper - 226 total samples
+ - orange - 4641 total samples
+ - easy peeler orange - 2720 total samples
+ - orange pepper - 552 total samples
+ - jazz apple - 272 total samples
+ - pear - 194 total samples
+ - green grape - 106 total samples
+ - lime - 43 total samples
+
 
 ## Requirements
 
 - [lo-sdk](https://www.livingoptics.com/register-for-download-sdk/)
 - [lo-examples](https://github.com/livingoptics/python-examples)
+- [lo-data] TODO
 
 
 ## Download instructions
 
 ### Command line
 ```commandline
-huggingface-cli ...
+huggingface-cli download LivingOptics/hyperspectral-fruit --repo-type dataset
 ```
 
 ### Python
 ```python 
 from huggingface_hub import hf_hub_download
-dataset_path = hf_hub_download(repo_id="LivingOptics", filename="hyperspectral_fruit.zip")
+dataset_path = hf_hub_download(repo_id="LivingOptics/hyperspectral-fruit", filename="train", repo_type="dataset")
 ```
 
 ## Usage