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Single Shot MultiBox Detector (SSD) with MobileNet in real-time

SSD Object Detection extracts feature maps using a base deep learning network, which is a CNN-based classifier and applies convolution filters to finally detect objects. Our implementation uses MobileNet as the base network (others might include- VGGNet, ResNet, DenseNet). SSD has a faster speed of Frame per second (FPS) but has trouble with detecting smaller objects and can detect only 20 objects.

Project Details

  • Category: Object Detection
  • Completed: 2021

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