Update README.md

README.md

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 license: apache-2.0
 extra_gated_prompt: >-
+  ### UrbanFlow Intelligence Engine | Model Access & Usage Agreement
 
-  ### VehicleNet-Y26 — Model Access Agreement
+  Access to the UrbanFlow perception architectures is governed by this professional agreement. 
+  By requesting access, downloading, or utilizing these models, you confirm your commitment to the 
+  following terms and our open-source licensing structure:
 
-  **VehicleNet-RFDETR-n** is a multi-vehicle detection model released under the
-  Apache License, Version 2.0. Access to this model is granted exclusively to
-  individuals who meet the legal age requirements of their jurisdiction and possess
-  the authority to accept and comply with the terms set forth herein.
+  **Licensing & Attribution**: UrbanFlow utilizes the advanced transformer-based architectures 
+  from the RF-DETR series. In alignment with the **Apache License 2.0**, we release this 
+  specialized model to the community while formally acknowledging the innovative contributions 
+  of **Roboflow** and their respective engineering teams. We thank them for their commitment 
+  to open-source computer vision research and accessible model weights.
 
-  By requesting access, downloading, or using VehicleNet-RFDETR-n8 in any capacity,
-  you represent and warrant that:
+  1. **Legal Capacity**: You certify that you meet the legal age of majority in your 
+     jurisdiction and possess the authority to accept and comply with these terms.
 
-  1. You satisfy the minimum legal age requirements applicable in your country or region.
-  2. You are duly authorized to enter into and be bound by this agreement.
-  3. You will use this model strictly in accordance with the Apache License 2.0 and all
-     applicable local, national, and international laws and regulations.
+  2. **Intent of Usage**: UrbanFlow is provided for technical evaluation, academic mobility 
+     research, and urban planning analysis. Usage must remain in compliance with the 
+     Apache-2.0 provisions regarding redistribution, attribution, and non-warranty.
 
-  **Disclaimer of Warranties:** VehicleNet-RFDETR-n is provided "as-is," without
-  warranties of any kind, whether express or implied, including but not limited to
-  warranties of accuracy, reliability, fitness for a particular purpose, or suitability
-  for deployment in safety-critical or regulated environments. The authors and affiliated
-  institutions assume no liability for any direct, indirect, incidental, or consequential
-  damages arising from the use or misuse of this model.
+  3. **No Warranty for Critical Infrastructure**: This model is provided "as-is" for research 
+     and evaluation purposes. Perception365 makes no guarantees regarding absolute accuracy in 
+     safety-critical autonomous navigation or high-stakes regulatory environments. Independent 
+     validation is mandatory for any production-grade deployment.
 
-  **User Responsibility:** You bear sole responsibility for all use of this model and its
-  outputs. Deployment in production systems, safety-critical applications, or any context
-  without adequate validation and human oversight is strongly discouraged. Any unlawful,
-  unethical, or unauthorized application of this model is strictly prohibited.
-
-  If you do not agree to these terms, or if you lack the authority to accept them,
-  you must refrain from accessing or using this model.
+  4. **Operational Accountability**: You assume sole responsibility for the deployment and 
+     outputs of the model. Usage for unlawful surveillance or any application violating 
+     individual privacy standards is strictly prohibited.
 
+  If you do not agree to these professional standards or the Apache-2.0 licensing terms, 
+  do not proceed with this access request.
 extra_gated_fields:
-  First Name: text
-  Last Name: text
+  Full Name: text
+  Organization or Institution: text
+  Work or Student Email: text
   Country: country
-  Job title:
+  Professional or Academic Role:
     type: select
     options:
-    - Undergraduate Student
-    - Research Graduate
-    - AI Researcher
-    - AI Developer / Engineer
-    - Other
-  geo: ip_location
-  By submitting an access request, I acknowledge and accept the terms above: checkbox
-extra_gated_button_content: Submit Access Request
-
+    - Undergraduate / Graduate Student
+    - Academic Researcher / Professor
+    - Computer Vision / AI Engineer
+    - Traffic / Urban Planning Engineer
+    - Other Professional / Consultant
+  Primary Use Case:
+    type: select
+    options:
+    - Academic Research & Publication
+    - Model Benchmarking & Evaluation
+    - Smart City Pilot / Deployment
+    - Heterogeneous Traffic Analysis
+    - Industrial Monitoring & Testing
+  I certify that I have read and agree to the UrbanFlow Usage Agreement and Apache License: checkbox
+extra_gated_button_content: Request Access
 datasets:
 - iisc-aim/UVH-26
 language: