Models

YOLOv4 Tiny vs. MobileNet V2 Classification

Both

YOLOv4 Tiny

and

MobileNet V2 Classification

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

YOLOv4 Tiny

and

MobileNet V2 Classification

.

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

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.

  YOLOv4 Tiny MobileNet V2 Classification
Date of Release Nov 09, 2020
Community Status
Model Type Object Detection Classification
Architecture ResNet-D, YOLO
FPS 34
Framework Used Darknet
Learn more about YOLOv4 TinyLearn more about MobileNet V2 Classification

Deploy a computer vision model today

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

Get started