Update README.md

README.md

@@ -6,9 +6,10 @@ language:
 - en
 tags:
 - biodiverstiy
+- cryptic species
 - fine-grained image recognition
 - vision-language
-- multimodal embedding space
+- multimodal dataset
 pretty_name: A Large Multimodal Dataset for Visually Confusing Biodiversity
 size_categories:
 - 100M<n<1B
@@ -28,15 +29,14 @@ size_categories:
 
 ## Description
 
-[CrypticBio](https://georgianagmanolache.github.io/crypticbio/) comprises metadata including species scientific and multicultural vernacular terminology, image URL, taxonomic hierarchy, spatiotemporal context, and corresponding visually confusing species group. Visually confusing or cryptic species are groups of two or more taxa that are nearly indistinguishable based on visual characteristics alone. 
+[CrypticBio](https://georgianagmanolache.github.io/crypticbio/) comprises metadata including species scientific and multicultural vernacular terminology, image URL, taxonomic hierarchy, spatiotemporal context, and cryptic species group. Cryptic species are groups of two or more taxa that are nearly indistinguishable based on visual characteristics alone. 
 
 ## CrypticBio Dataset
 We present CrypticBio, the largest publicly available multimodal dataset of visually confusing species groups, specifically curated to support the development of AI models in the context of biodiversity identification applications.
-Visually confusing or cryptic species are groups of two or more taxa that are nearly indistinguishable based on visual characteristics alone. Curated from real-world trends in species misidentification among community annotators of iNaturalist, CrypticBio contains 66K cryptic species groups spanning 64K species, represented in 170 million annotated images. 
-Rich research-graded metadata annotations extending scientific, multicultural, and multilingual species terminology, hierarchical taxonomy, spatiotemporal context, and cryptic group species, further challenge the multimodal AI biodiversity research.
+Curated from real-world trends in species misidentification among community annotators of iNaturalist, CrypticBio contains 67K cryptic species groups spanning 52K species, represented in 166 million images. 
 
 ## New Benchmark Datasets
-We created four new benchmark datasets for fine-grained image classification. 
+We created four new benchmark datasets for fine-grained image classification of cryptic species. 
 
 ### CrypticBio-Commom
 We curate a cryptic species subset of a common species from Arachnida, Aves, Insecta, Plantae, Fungi, Mollusca, and Reptilia, spanning n=158 species. We randomly select 100 samples from each species in a cryptic group where there are more than 150 observation per species.