MobileNet V2 Classification vs. YOLOv3 Keras: Compared and Contrasted

Models

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

Learn more about MobileNet V2 Classification

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.

Learn more about YOLOv3 Keras

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

Keras

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.1k+

License

MIT

Paper

Training Notebook

Deploy Model

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MobileNet V2 Classification vs. YOLOv3 Keras

Both

MobileNet V2 Classification

and

YOLOv3 Keras

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

MobileNet V2 Classification

and

YOLOv3 Keras

	MobileNet V2 Classification	YOLOv3 Keras
Date of Release
Model Type	Classification	Object Detection
Architecture		YOLO
GitHub Stars		7100