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Our Motivation
Artificial Intelligence and Deep Learning are revolutionary technologies that transform the way we use machines to perceive and analyze the world around us and respond in real-time to constantly evolving environments.
Back in 2017, when we founded Hailo, those disruptive technologies were limited to data centers, as they are costly, require high compute power and extensive hardware, and consume a significant amount of power.
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Our Motivation
Artificial Intelligence and Deep Learning are revolutionary technologies that transform the way we use machines to perceive and analyze the world around us and respond in real-time to constantly evolving environments.
Back in 2017, when we founded Hailo, those disruptive technologies were limited to data centers, as they are costly, require high compute power and extensive hardware, and consume a significant amount of power.
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Object detection
Detecting and classifying objects within an image is a crucial task in computer vision, known as object detection. Deep learning models trained on the COCO dataset, which is a popular dataset for object detection, offer varying tradeoffs between performance and accuracy. For instance, by running inference on Hailo-8, the YOLOv5m model achieves 218 FPS and 42.46mAP accuracy, while the SSD-MobileNet-v1 model attains 1055 FPS and 23.17mAP accuracy. The COCO dataset includes 80 unique classes of objects for general usage scenarios, including both indoor and outdoor scenes.
Layout: 1of3 Media Column
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Styles: Default
Object detection
Detecting and classifying objects within an image is a crucial task in computer vision, known as object detection. Deep learning models trained on the COCO dataset, which is a popular dataset for object detection, offer varying tradeoffs between performance and accuracy. For instance, by running inference on Hailo-8, the YOLOv5m model achieves 218 FPS and 42.46mAP accuracy, while the SSD-MobileNet-v1 model attains 1055 FPS and 23.17mAP accuracy. The COCO dataset includes 80 unique classes of objects for general usage scenarios, including both indoor and outdoor scenes.