Prototype of an intelligent safety system for detecting driver drowsiness
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Updated
Jul 4, 2024 - C++
Prototype of an intelligent safety system for detecting driver drowsiness
Diploma project, generating a YOLO model, recognizing people using YOLO, Maixduino microcontroller
As one can predict, many species look visually similar to the untrained eye, so developing software to help non-professionals can bring awareness to the various species. The development of deep learning networks is vital to the improvement of image segmentation when data is being drawn for quantitative purposes.
Compare faces from images
A realtime acoustic bird classification system for the Raspberry Pi 5, based on BirdNET-Pi
This notebook uses the classic MNIST handwritten digit dataset, which contains digit 0-9 images of size 28*28. This can be used as self contained program for handwritten digit recognition of a file of data or as pieces to be implemented in other code. This is optimized for greyscale digit recognition.
An Android app to recognize YOUR hand-written Character
An Android app to recognize YOUR hand-writen digits
A Real Time Kurdish handwriting Language Character Recognition Model Using Deep Learning (AlexNet) over used website
A Real Time Kurdish handwriting Language Number Recognition Model Using Deep Learning (AlexNet) over used website
The C++ neural network for handwritten digit recognition with online demo
HappyWhale model implementation - Phase B
American Sign Language (ASL) Recognition Project
🏁 Flag recognition neural network + flag images dataset
Recognition of the images includes train and tests based on Python.
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