Models

MobileNet SSD v2 vs. YOLOv3 Keras

Both

MobileNet SSD v2

and

YOLOv3 Keras

are commonly used in computer vision projects. Below, we compare and contrast

MobileNet SSD v2

and

YOLOv3 Keras

.

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

YOLOv3 Keras

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. Keras implementation.

  MobileNet SSD v2 YOLOv3 Keras
Date of Release Jan 13, 2018
Community Status
Model Type Object Detection Object Detection
Architecture
FPS
Framework Used TensorFlow 1.5 Keras
Learn more about MobileNet SSD v2Learn more about YOLOv3 Keras

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