Remove 2016 Remove Deep Learning Remove Visual AI
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Simon Randall, CEO and Co-Founder of Pimloc – Interview Series

Unite.AI

Pimloc’s AI models accurately detect and redact PII even under challenging conditions. These deep learning algorithms are trained on domain-specific videos from sources like CCTV, body-worn cameras, and road survey footage. This enables the detection of PII in videos, even when the quality is low.

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YOLOv7: The Most Powerful Object Detection Algorithm (2023 Guide)

Viso.ai

The original YOLO object detector was first released in 2016. The suffix “tiny” of computer vision models means that they are optimized for Edge AI and deep learning workloads, and more lightweight to run ML on mobile computing devices or distributed edge servers and devices.

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YOLO Explained: From v1 to v11

Viso.ai

Viso Suite is use case-agnostic, meaning that it performs all visual AI-associated tasks including people counting, defect detection, and safety tracking. To learn more, book a demo with our team. Viso Suite is the end-to-End, No-Code Computer Vision Solution. Architecture The Architecture of YOLOv1.