A realtime acoustic bird classification system for the Raspberry Pi 5, based on BirdNET-Pi
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Updated
Jan 11, 2025 - PHP
A realtime acoustic bird classification system for the Raspberry Pi 5, based on BirdNET-Pi
🏁 Flag recognition neural network + flag images dataset
The C++ neural network for handwritten digit recognition with online demo
Recognition of the images includes train and tests based on Python.
Prototype of an intelligent safety system for detecting driver drowsiness
Uma biblioteca C++ para construir, treinar e implantar redes neurais.
pure pytorch implementation of LeNet-5, a handwritten digit classifier; detailed documentation and comments included. model specifications derived from original paper.
HappyWhale model implementation - Phase B
Recognition of text in images, speech in audio files, recognition of information in PDF!
🎵 TimeScaleNet – Advanced API & model for sound recognition and audio analysis.
A Real Time Kurdish handwriting Language Number Recognition Model Using Deep Learning (AlexNet) over used website
A Real Time Kurdish handwriting Language Character Recognition Model Using Deep Learning (AlexNet) over used website
An Android app to recognize YOUR hand-writen digits
92% accuracy CNN from scratch for CIFAR-10 dataset WITHOUT transfer learning and with complex metrics.
Neural Network from Scratch
An Android app to recognize YOUR hand-written Character
MyTorch is a chess game recognition tool powered by a neural network and machine learning. It evaluates chessboard positions and determines the game state: Check, Checkmate, Stalemate, or Nothing.
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.
Diploma project, generating a YOLO model, recognizing people using YOLO, Maixduino microcontroller
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