Updated configurations, tags, size and instructions on using the dataset

README.md

@@ -1,9 +1,15 @@
 ---
 license: cc-by-4.0
 task_categories:
-  - object-detection
+- object-detection
 size_categories:
-  - 1K<n<10K
+- n<1K
+language:
+- en
+tags:
+- cotton-ball
+- cotton
+- object-detection
 ---
 
 # CBDA — Cotton Ball Detection Dataset for Agriculture (Augmented)
@@ -23,7 +29,7 @@ This dataset is indexed on https://project-agml.github.io/ as part of the AgML p
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("imagefolder", data_dir="hf://datasets/Project-AgML/CBDA_Cotton_Ball_Detection_Augmented")
+ds = load_dataset("Project-AgML/CBDA_Cotton_Ball_Detection_Augmented")
 ```
 
 # Citation
@@ -36,6 +42,6 @@ ds = load_dataset("imagefolder", data_dir="hf://datasets/Project-AgML/CBDA_Cotto
   year={2023},
   publisher={IEEE}
 }
-```
 
 Amrani, Moussa; Sohel, Ferdous; Murray, Neil; Hazel, Susan (2023), "Plant Detection and Counting: Enhancing Precision Agriculture in UAV and General Scenes", IEEE Access
+```