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elymeraj / repository
Computer Vision projects in Jupyter Notebooks covering digital image processing, color spaces, histograms, convolution filters, morphology, segmentation, contour detection, Harris corners, Canny edges, and Hough transform
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zainlatif /
🐭 rat detection using cnn this beginner-level computer vision project uses a convolutional neural network (cnn) to classify images as containing a rat or not. built in jupyter notebook with tensorflow and keras, it uses a pre-trained dataset and allows you to test custom images by placing them in a testing_folder.
64/100 healthmohdsaif13 /
Helmet Detection Computer Vision Model - A machine learning project that detects helmets in images and video streams using convolutional neural networks. Includes Jupyter Notebook implementations for model training and evaluation, Python utilities for inference, and Docker configuration for containerized deployment.
46/100 healthdistance_transform_edt :
cv2.HoughLines.cv2.HoughCircles)cv2.HoughCircles.hough_circle)hough_circle et hough_circle_peaks pour détecter des cercles :
cv2.circle sur l'image d'origine.KabileshRajaselvan /
This repository contains a Jupyter Notebook developed for a Computer Vision project as part of the academic coursework.
27/100 healthrtx4070-m4 /
A computer vision project implementing image classification using Convolutional Neural Networks (CNNs) in Python. Includes a Jupyter notebook for experimentation, a standalone training script, and a detailed report explaining the model architecture, training process, and results.
42/100 healthnamrata-sudarsi /
GTSR_ML is a project for detecting traffic signs using convolutional neural networks. It includes a Jupyter notebook implementing the training pipeline, plus dataset files like sign names and raw data. Ideal for exploring computer vision & image classification workflows.
34/100 health