Description
*Courses content is updated in August 2023. The model training-related problem is fixed. So enroll now if you want to train and use object detection models in mobile apps.*If you want to train custom object detection models for Android and iOS then welcome to this course. In this course, you will learn toTrain your custom object detection models for Android and IOSUse those models in Android (Java/Kotlin) with images and live camera footageUse existing object detection models like YOLO, EfficientDet, and MobileNet models in Android (Java/Kotlin)The android app development section of this course is for both java and kotlin programming languages. So after completing this course you will be able toCollect datasets for training object detection modelsAnnotate datasets using different toolsTrain object detection models on custom datasets for Android and IOS ( TensorFlow object detection )Convert object detection models into tflite / Tensorflow lite formatUse those converted models in Android (Java/Kotlin) with images and live camera footageUse existing object detection models in Android (Java/Kotlin) like YOLO v4, SSD EfficientDet Models, and SSD MobileNet ModelsReady to use ResourcesThe course comes with ready-to-use codes which means if you have a trained object detection model thenYou can take complete android (Java/Kotlin) application codes from course resourcesReplace the object detection model with your custom model And use it for your custom use caseand if you want to use existing object detection models in Android for your custom use cases then you can take complete android (Java/Kotlin) application codes from course resourcesand customize it as per your needsWhat is there for IOS developers(Object Detection IOS) So apart from Android App Development, If you want to train custom object detection models for IOS applications then you can also take this course but the integration of object detection models in IOS applications is not included in this courseObject DetectionObject detection is a computer vision technique that allows us to identify and locate objects in an image or video. Use Cases & ApplicationsVideo surveillanceCrowd countingAnomaly detection (i. e. in industries like agriculture, and health care)Self-driving carsCourse CurriculumThe course is divided into several sectionsData collection and AnnotationIn this section, we will cover the basics of dataset collection and annotation and thenWe will learn to collect the dataset for training an object detection modelAfter that, we will learn to annotate that dataset using Roboflow and other such toolsTraining Object Detection Model / Tensorflow Object DetectionWe will learn to train an object detection model using the dataset we collected and annotated. Testing and ConversionAfter training the model we will test it to check model performance and accuracyThen we will convert it into tflite / Tensorflow lite format so that we can use it in mobile applications. Android App Development (Object Detection Android)After model training and conversion, we will learn to use that model inside Android applications (Java/Kotlin) with bothImagesLive camera footage / Real-Time Object Detection Object Detection with Images (Object Detection Android App Development)So firstly we will build an Android (Java/Kotlin) application where users can choose images from the gallery or capture images using the cameraand then those images will be passed to our custom object detection modeland then based on the results returned by the model we will draw rectangles around detected objects. Object Detection with live camera footage (Object Detection Android App Development)Secondly, we will build an Android (Java/Kotlin) application in whichwe will display the live camera footage using camera 2 APIand then we will pass frames of live camera footage to our object detection modeland draw rectangles around the detected objects in real-timeExisting Object Detection Models (Object Detection Android App Development)We will learn to use existing object detection models inside Android (Java/Kotlin) Applications with both images and live camera footage. So in that section, we explore three popular families of object detection models and use them inside Android (Java/Kotlin) Applications. SSD MobileNet ModelsEfficient Det ModelsYOLO ModelsSSD MobileNet ModelsIn this section, we will learn to use SSD MobileNet Models in Android (Java/Kotlin) with both images and live camera footage. Firstly we will learn about the structure of MobileNet models and then we will use two popular MobileNet models in Android (Java/Kotlin) which areSSD MobileNet V1SSD MobileNet v3Efficient Det ModelsIn this section, we will learn to use EfficientDet Models in Android (Java/Kotlin) with both images and live camera footage. Firstly we will learn about the structure of EfficientDet models and then we will use two popular EfficientDet models in Android (Java/Kotlin) which areEfficientDet Lite0EfficientDet Lite1EfficientDet Lite2EfficientDet Lite3YOLO Models / YOLO object detectionIn this sectionwe will learn to use the latest YOLOV4 model in Android (Java/Kotlin) with both images and live camera footageWe will also cover the YOLO model structure and how input and outputs are handled in YOLO effectivelyWe will handle the integration of both the regular YOLOV4 model and the tiny YOLOv4 model in Android with both images and live camera footage. So a complete YOLO object detection package for android app development. Sign up today, and look forwards to: HD 1080p video content. Training custom object detection modelsBuilding fully-fledged Android ( Java / Kotlin ) applications using different object detection models. All the knowledge you need to start building Object Detection-based Android ( Java / Kotlin ) application you want$1000+ Source codes of Android ( Java / Kotlin ) Applications. REMEMBER… I'm so confident that you'll love this course and you will also get a 30-day money-back guarantee from udemy. So it's a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain. So what are you waiting for? Click the buy now button and join the world's best Object Detection course. Who this course is for: Anyone who wants to train object detection models for Android App Development (Java/Kotlin)Anyone who wants to use object detection models in Android App Development (Java/Kotlin) with images and live camera footageBeginner Android developer with very little knowledge of android app developmentAn Intermediate Android app developer wanted to build a powerful Machine Learning-based application for Android (Java/Kotlin)Experienced Android (Java/Kotlin) app developers wanted to use Machine Learning models inside their applications. Machine Learning experts want to use their object detection models in Android App Development (Java/Kotlin)
