When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...
This study comparatively evaluated two advanced object detection models—Detectron2 and YOLOv11—for strawberry segmentation tasks. We utilized a custom dataset consisting of 551 images of 30 ...
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Abstract: Skin cancer is a common but preventable type of cancer. Observing the rising trend of cases being reported every year, accurate timely diagnose can stop the spread of disease in the body.
Cell segmentation and classification are vital tasks in spatial omics data analysis, which provides unprecedented insights into cellular structures and tissue functions. Recent advancements in spatial ...
Targeted marketing and personalization have evolved dramatically in the last decade. Engaging an audience overwhelmed by the internet’s content farm requires meeting fans where they are, speaking ...
Partner and President at E-Cubed Media Synthesis Inc. Data is the heart of any kind of personalization you want to deliver. Data decides when you trigger personalization rules and for whom. It is ...
Hey everyone, I am using Detectron2 with a custom dataset for semantic segmentation. My dataset contains multiple classes so it is not a binary classification problem. I checked the implementation ...
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