MobileNet V2 Classification vs. YOLOv4: Compared and Contrasted

Models



MobileNet V2 Classification vs. YOLOv4

Both

MobileNet V2 Classification

and

YOLOv4 Darknet

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

MobileNet V2 Classification

and

YOLOv4 Darknet

	MobileNet V2 Classification	YOLOv4 Darknet
Date of Release
Model Type	Classification	Object Detection
Architecture
GitHub Stars		20100

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.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about MobileNet V2 Classification

Learn more about YOLOv4 Darknet