Update README.md

README.md

@@ -14,9 +14,12 @@ short_description: An Open-Source Initiative for AI in Agriculture
 The **AgriVision** is a dedicated group for Research in Agriculture, We utilizes `Computer Vision` and `Deep Learning` for solving problems in agricultural field, such as leaf annotation, labelling, detection, segmentation, classification, etc. 
 We provide resources and tools for researchers to explore and apply **Computer Vision** and **Image processing techniques** for advancing plant science.  
 
+The primary challenge in agricultural tasks is - `In-The-Wild` problems, where even a highly accurate model fail, due to unstructured environment, illumination, noise, occlusion, etc. 
+**AgriVision** focuses on making Vision based services to handle In-The-Wild barriers.
+
 ## Common classical problems we handle  
 
-- **Segmentation Masks** – Generate binary or multi-class masks for plant structures  
+- **Segmentation Masks** – Mask Overlay, or polygon figures localizing an object/instance perfectly.
 - **Annotations** – Add and manage precise annotation/bounding box 
 - **Image Processing** – Perform preprocessing tasks such as cropping, resizing, and filtering  
 - **Plant-Type Labeling** – Classify and organize images by species (e.g., basil, tomato, etc.)