Models

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

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.

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 V2 Classification YOLOv3 Keras
Date of Release
Community Status
Model Type Classification Object Detection
Architecture
FPS
Framework Used Keras
Learn more about MobileNet V2 ClassificationLearn more about YOLOv3 Keras

Deploy a computer vision model today

Join 100k developers curating high quality datasets and deploying better models with Roboflow.

Get started