Update README.md

README.md

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 ## Important Notice
-This model is provided for evaluation and development purposes only. It is not validated for and must not be used in clinical, diagnostic, or production settings. See #use-and-limitations.
+This model is provided for internal evaluation and development purposes only. It is not validated for and must not be used in clinical, diagnostic, or production settings. See #use-and-limitations and #License.
 
 ---
 ## Model Information
 ### Description
-people-present is a single-stage object detection model that detects caretakers and other persons in a NICU warmer video feed. It uses the same MobileNetV2 + FPN + anchor-free head architecture as the companion patient-present model, retrained on a person-detection objective. In the NICU Warmer reference pipeline, its bounding boxes are cross-referenced with patient-present detections via IoU overlap to classify each detected person as either "caretaker" or "patient". This model is a development and evaluation tool produced as part of Intel's NICU Warmer reference design and has not undergone clinical validation.
+people-present is a single-stage object detection model that detects persons present in a frame. It uses the same MobileNetV2 + FPN + anchor-free head architecture as the companion patient-present model, retrained on a person-detection objective. In the a NICU Warmer reference pipeline, its bounding boxes are cross-referenced with patient-present detections via IoU overlap to classify each detected person as either "caretaker" or "patient". This model is an internal development and evaluation tool produced as part of Intel's NICU Warmer reference design and has not undergone clinical validation. In this reference application, the detection of another person in the boxed space in the video frame (other than the “patient”) is designed to mimic the workload of an AI model operating in a real neonatal scenario where it would be able to detect a caretaker or other hospital worker near the NICU Warmer. 
 ### Intended Use
-This model is intended for use by software developers and researchers evaluating AI-assisted NICU monitoring workflows on Intel hardware. It demonstrates person detection in warmer video as a building block for caretaker-presence sensing. people-present itself does not provide any medical functionality, nor is it intended to process or interpret medical data for a medical purpose. Developers are responsible for independently validating and adapting people-present for their specific use case. It must not be used in live clinical environments or for any diagnostic or patient-safety purpose.
+This model is intended for use by software developers and researchers evaluating AI-assisted monitoring workflows on Intel hardware. It demonstrates person detection in warmer video as a building block for caretaker-presence sensing. people-present itself does not provide any medical functionality, nor is it intended to process or interpret medical data for a medical purpose. Developers are responsible for independently validating and adapting people-present for their specific use case. It must not be used in live clinical environments or for any diagnostic or patient-safety purpose.
 
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 ## Technical Specifications
@@ -28,22 +28,27 @@ This model is intended for use by software developers and researchers evaluating
 | Training hardware | Intel Ultra Core     |
 | Framework         | PyTorch (mmdetection) → OpenVINO IR FP32         |
 
+---
+## Training Data
+The model was trained using images of a box-like compartment taken from above. These images were created by the development team for this purpose.
+Within the box compartment (representing the NICU Warmer), numerous images show different configurations of scenarios i.e. the presence or absence of a plastic figure (representing the “patient”), the presence or absence of a hand (representing the “caretaker”) and the presence or absence of latch clips (representing the NICU Warmer hood latch). 
+The model is trained to recognise the presence a hand within this environment. Once trained, you can test the performance of the AI model and by extension the hardware in real-time to mimic production use. Whilst the training process allows for simulation of production workloads, the fact that the training data has no clinical nexus demonstrates that the NICU Warmer reference application was not intended for use within a production, clinical environment. 
+## Evaluation
+Evaluation was limited to confirmation that the model can recognise the presence of a hand in the environment described above. No formal evaluation of performance was undertaken. It is recognised that reference AI workloads may not replicate real, production workloads
+
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 ## Use and Limitations
 ### Permitted Uses
 - Evaluation and benchmarking of Healthcare and Life Sciences AI workflows
 - Research and development
 - Academic study
-- Adaptation and modification for non-clinical applications
 ### Prohibited Uses
 - Clinical or diagnostic use
-- Production deployment without independent validation and
-  applicable regulatory authorization
-- Use with live patients or real patient data (unless the user
-  has obtained all necessary authorizations)
-- Any use that would cause Intel to be treated as the
-  manufacturer, provider, or deployer of a medical device
-  or regulated AI system
+- Production deployment
+- Use with live patients or real patient data
+### Known Limitations
+- No evaluation of performance undertaken
+- No evaluation of whether reference AI workloads will replicate real, production workloads
 
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 ## License