Descriptions
Train Object Detection Models & build Realtime Android 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 to train your custom object detection models for Android and iOS, use those models in Android (Java/Kotlin) with images and live camera footage, and use existing object detection models like YOLO, EfficientDet, and MobileNet in Android (Java/Kotlin). The Android app development section covers both Java and Kotlin. After completing this course, you will be able to collect and annotate datasets, train object detection models on custom datasets for Android and iOS, convert models to tflite/TensorFlow lite format, and use them in Android apps with images and live camera. You will also learn to use existing models (YOLO v4, SSD EfficientDet, SSD MobileNet) in Android, and get ready-to-use codes to quickly build and customize your own applications. The course covers data collection, annotation, training, testing, conversion, and integration of models in Android apps for both images and real-time camera footage. You will also learn about object detection use cases such as video surveillance, crowd counting, anomaly detection, and self-driving cars. By the end, you will be able to build Android applications using both Java and Kotlin, integrating custom and existing object detection models for a variety of real-world scenarios.
What you’ll learn
- Train object detection models on custom datasets for Android Applications
- Use existing object detection models in Android with both images and videos
- Learn about tflite (TensorFlow lite) models integration in Android App Development
- Use YOLO models in Android with images and live camera footage
- Test and optimize trained object detection model for Android devices
- Collect and annotate datasets for training object detection models
- Use SSD Mobilenet models in Android with images and live camera footage
- Use Efficient Det models in Android with images and live camera footage
- Convert object detection model into tensorflow lite formats
- Learn about object detection and its applications in Android app development
- Build Android Applications using both Java and kotlin
Who this course is for
- Someone want to train custom Object Detection models and build mobile applications
- Android App Developers want to learn smart Machine Learning based Android Development
- Students who have basic knowledge of Android app development and want to build smart machine learning based Android Applications
- Students who want to learn use of existing object detection models in Android (YOLO, EfficientDet, mobileNet)
- Machine Learning Engineers want to use their existing object detection model in Android App Development
Specificatoin of Train Object Detection Models & build Realtime Android Apps
- Publisher : Udemy
- Teacher : Mobile ML Academy by Hamza Asif
- Language : English
- Level : All Levels
- Number of Course : 106
- Duration : 8 hours and 47 minutes
Content of Train Object Detection Models & build Realtime Android Apps
Requirements
- Having some basic knowledge of Android App development will be a plus
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
5.88 GB
