Update README.md

README.md

@@ -16,7 +16,7 @@ In this particular case, Innovatiana completed the annotation work in good faith
 
 The good news is that the agreements governing this project allow us to release the dataset to the Open Source community. By doing so, we not only honor the work of our annotators but also turn this experience into a meaningful contribution to the AI field. This release stands as a testament to transparency, collaboration, and our commitment to fair practices, ensuring that this dataset serves as a valuable resource for AI developers.
 
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+(!) It is important to clarify that the client for this dataset was NOT affiliated with any of the brands or stores depicted in the images. HOWEVER, we believe that these brands, as potential end beneficiaries of AI solutions developed by our client, should be made aware of how some suppliers procure their training data—often through unethical practices such as unauthorized usage or stealing data.
 
 # Dataset Description
 Content: The dataset features:
@@ -24,7 +24,7 @@ Content: The dataset features:
 * Approximately 245,000 labels
 * Complex annotations with up to 500+ labels per frame in some cases
 
-Sources: Frames were extracted from in-store video footage recorded in cosmetic retail environments (e.g., stores like Nocibé or Sephora, though not explicitly named).
+Sources: Frames were extracted from in-store video footage recorded in cosmetic retail environments.
 
 Format: Raw images and their respective annotations, in XML format are available. Dataset was developed using CVAT and organized into subsets to optimize performance during extraction and analysis.