2 projects for "memory" with 2 filters applied:

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    AI-powered service management for IT and enterprise teams

    Enterprise-grade ITSM, for every business

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  • 1
    MobileNetV2

    MobileNetV2

    SSD-based object detection model trained on Open Images V4

    ...It is based on an inverted residual structure that allows for faster computation and fewer parameters, making it ideal for real-time applications on resource-constrained devices. MobileNetV2 is commonly used for image classification, object detection, and other computer vision tasks, achieving high accuracy while maintaining a small memory footprint. It also supports TensorFlow Lite for mobile device deployment, ensuring that developers can leverage its performance on a wide range of platforms.
    Downloads: 8 This Week
    Last Update:
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  • 2
    MediaPipe Face Detection

    MediaPipe Face Detection

    Detect faces in an image

    The MediaPipe Face Detection model is a high-performance, real-time face detection solution that uses machine learning to identify faces in images and video streams. It is optimized for mobile and embedded platforms, offering fast and accurate face detection while maintaining a small memory footprint. This model supports multiple face detections and is highly efficient, making it suitable for a variety of applications such as augmented reality, user authentication, and facial expression analysis.
    Downloads: 3 This Week
    Last Update:
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