Update README.md

README.md

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 # Vision Perception & Interpretation
 
-Welcome to **Perception365** 👁  
-We work at the intersection of **computer vision, real-world perception, and edge AI**.
+Welcome to **Perception365** 
+We work at the intersection of computer vision, real-world perception, and edge AI.
 
-> **Vision intelligence should be accessible — even at the smallest scale.**
+> Vision intelligence should be accessible — even at the smallest scale.
 
-Even highly specialized models often **fail to exhibit their true performance** once deployed outside curated datasets.  
-Ignoring this gap leads to unreliable systems, poor generalization, and real-world failure.
+Even highly specialized models often fail to exhibit their true performance once deployed outside curated datasets. Ignoring this gap leads to unreliable systems, poor generalization, and real-world failure.
 
 We focus on closing this gap.
 
-Our work prioritizes the **accuracy–latency Pareto frontier**, ensuring models are both practical and performant.
+Our work prioritizes the accuracy–latency Pareto frontier, ensuring models are both practical and performant.
 
 ---
 
-This page hosts a collection of **vision perception models** optimized for edge deployment, including:
-
-- **Object Detection**
-- **Segmentation**
-- **Classification**
+This page hosts a collection of vision models optimized for edge deployment or GPU inference, including: 
 
 Each model is designed with:
 - Low compute and memory footprints
@@ -37,6 +32,6 @@ Each model is designed with:
 Perception is a long road.  
 We’re not claiming perfection — just progress.
 
-If you care about **real-world vision systems**, edge AI, and practical deployment, you’re in the right place.
+If you care about real-world vision systems, edge AI, and practical deployment, you’re in the right place.
 
-*Built for the real world. Designed for the edge.*
+Built for the real world. Designed for the edge.