'Comparison between object detection algorithm speeds

I am writing my final degree project and I am having trouble to compare different algorithms in the state of the art. I am comparing ResNet, MobileNet SSD, YOLOv4, VGG16, and VGG19 used in embedded devices such as Jetson Nano or Raspberry pi. All algorithms are used for object detection but I am unable to find information about which one is faster or usually gets a higher accuracy. Also, I was looking if they can be used in low-performance devices. I would be grateful if someone is able to help me.

Thanks in advance.

conv-neural-networkartificial-intelligencesolid-state-drive


Sources

This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.

Source: Stack Overflow

Solution Source

Related Questions

Artificial Bee Colony library [closed]

Algorithm for straightening tilted document

Alan AI Error Uncaught Error: The Alan Button instance has already been created. There cannot be two Alan Button instances created at the same time

How does MindsDB renew/develop models?

Fastest way to store a numpy array in redis

module 'keras.engine' has no attribute 'Layer'

Sklearn can't convert string to float

which algorithm does google keyboard uses for automatic suggestions (personal vocab included)?

Region Of Intrest

Sliding window input (image sequence) for convolutional neural network

After a certain number of moves my tictactoe program raise an exception

KeyError: 'Failed to format this callback filepath: "skintype_64_rmsprop_{val_loss:.3f}.h5". Reason: \'val_loss\''

Standard answers for a speech in a AI

How is inference by enumeration done on bayesian networks?

pip install dlib, Cmake error compiler is not found