Update README.md

README.md

@@ -1,8 +1,16 @@
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 license: cc-by-nc-nd-4.0
+language:
+- en
+tags:
+- Plant Disease
+- Multimodal
 ---
 Existing deep-learning methods have achieved remarkable performance in recognizing in-laboratory plant disease images. 
 However, their performance often significantly degrades in classifying in-the-wild images. 
 Furthermore, we observed that in-the-wild plant images may exhibit similar appearances across various diseases (i.e., small inter-class discrepancy) while the same diseases may look quite different (i.e., large intra-class variance). 
 Motivated by this observation, we propose an in-the-wild multimodal plant disease recognition dataset, PlantWild, which contains the largest number of disease classes but also text-based descriptions for each disease. 
-PlantWild is currently the largest dataset containing wild plant disease images.
+PlantWild is currently the largest dataset containing wild plant disease images, containing 18542 images of 89 classes.
+
+We invited experts in the field of agriculture to refine our dataset. We also added images of new types of diseases according to experts' suggestions. 
+The obtained dataset, PlantWild_v2, has enhanced data reliability and the number of classes has been expanded to 115.