object-detection

After Apple’s introduction of ARKit 2, we have been consistently working behind to create shared-AR experiences. Our goal is to improve the utility of mobile using AR experiences.

🎥 iOS11 demo application for dominant objects detection.

YOLO v3 TensorFlow Lite iOS GPU acceleration. Training from scratch and making a GPU accelerated mobile application.

Real time image recognition using Core ML

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.

This repository contains sample implementation of models available from iOS developer site.

MobileNet in CoreML with Vision implemented for iPhone iOS in Swift

Pedestrian Traffic Light Detector for visually impaired people

Running neural network on IOS using Keras model and GPU To do Object detection and Image classification

Lightweight Swift package for adding real-time object tracking to any detector.

A microbiologist's dream come true. Accelerate common Petri dish assays with AI.

A sample app using the Selerio SDK for AR

A vision-based driver assistant for iOS.

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.

Evaluate Construction Site Safety on iOS using Machine Learning

[yolov5] + [ios] + [tensorflow lite]

A Demo project using Serrano with TinyYOLO network

YOLO v3 on OpenImages dataset in CoreML with Vision implemented for iPhone iOS in Swift

The world's simplest Computer Vision API for iOS and macOS

Real time object detection app

🔎 PennApps Hackathon Project - iOS app to search YouTube via object recognition and speech-to-text

There are two phases of this iOS application, one which has the implementation of Resnet Model (CoreML Model) and also Hand State Detection Model which i made using Custom Vision.

Object recognition with InceptionV3 in swift, iOS11

Finding fluffy friends around you with SwiftUI and Vision.framework using an iOS device.

Aplikacja na iOS służąca do rozpoznawania znaków drogowych z ograniczeniem prędkości. | An iOS app performing speed limit sign recognition.

iOS app that demonstrates Apple's CoreML and Vision frameworks in action using pre-trained YOLOv3 and Inceptionv3 .mlmodels.

Apply computer vision algorithms to perform a variety of tasks on input images.

Object detection with Resnet50 implemented using CoreML

Google MLKit Object detection iOS sample app.