There are 1 repository under vison topic.
This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class.
Core ML and Vision object classifier with a lightweight trained model. The model is trained and tested with Create ML straight from Xcode Playgrounds with the dataset I provided.
Classifying Images with Vision, Core ML and SwiftUI
YOLO based security camera server with frontend to manage the security rules
This app helps to capture image whenever smile is detected
web app for internet of thing based baby monitoring system(for IOT-BBMS_Hard repo) used to send controller flag to backend server
A colorblind vision website that displays how dogs see the world.
This repository contains a implementation of an image classifier API using FastAPI and vision-and-language models
classifies Potato Leaf images
🔍 Explore machine learning hands-on with scikit-learn through projects that illustrate key concepts like classification, regression, and clustering.