#4 ML-Kit's Vision API on Android - Face Detection
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- Опубліковано 23 кві 2023
- Are you interested in building powerful Android apps with cutting-edge machine learning capabilities? Look no further than ML-Kit Vision API! In this comprehensive course, we'll take you from beginner to expert in using ML-Kit Vision API to incorporate image recognition and other machine learning features into your Android applications.
With ML-Kit Vision API, you can take advantage of Google's advanced machine learning algorithms to build smarter, more intuitive apps that can recognize and analyze visual information. Whether you're building a camera app that can detect objects, a shopping app that can scan barcodes, or anything in between, ML-Kit Vision API has the tools you need to make your app stand out from the competition.
In this course, you'll learn how to use ML-Kit Vision API to implement a wide range of machine learning features, including image labeling, text recognition, face detection, and more. You'll get hands-on experience with real-world examples and projects, and you'll walk away with a deep understanding of how to integrate machine learning into your Android apps.
For source code visit: simplifiedcoding.in/download/26
Topics covered in this course include:
👉 CameraX
👉 Barcode Scanning
👉 Face Detection
👉 Face Mesh Detection
👉 Text Recognition
👉 Image Labeling
👉 Object Detection and Tracking
👉 Pose Detection
👉 Selfie Segmentation
If you enjoyed this course on using ML-Kit Vision API in Android apps, then you won't want to miss out on the other great content available on our channel, Simplified Coding! From Android development tutorials to advanced machine learning concepts, we're dedicated to bringing you the latest and greatest in technology education. So if you haven't already, make sure to hit the subscribe button and turn on notifications to stay up-to-date on all our latest videos. And if you found this course helpful, please share it with your friends and colleagues who might also benefit from learning about ML-Kit Vision API. Together, we can help build a smarter, more connected world through technology.
Finally, I want to thank each and every one of you for your support, encouragement, and enthusiasm. It's an honor to share my knowledge and passion with such a dedicated community of developers. So let's keep learning, exploring, and building together - the future of app development is in our hands!
You can also check some of my other courses from these links
👉 Dart Programming Tutorial: bit.ly/2S8y0Pu
👉 Kotlin Programming Tutorial: bit.ly/2Q2puRm
👉 Android MVVM Tutorial: bit.ly/3iLfVzu
👉 Android Game Development Tutorial: bit.ly/38JmltC
👉 Retrofit Android Tutorial: bit.ly/2DEwAl1
👉 Android RecyclerView Tutorial: bit.ly/2TqVjPz
👉 Android Room Tutorial: bit.ly/2PfQHeN
👉 Firebase Auth Tutorial: bit.ly/2WUGhEo
👉 Android Notification Tutorial: bit.ly/2Sc6jQl
👉 Building a Complete Wallpaper App: bit.ly/30UN8zV
👉 Build Tic Tac Toe in Android: bit.ly/30goxW0
❤️❤️ Thank You All for the Love and Support ❤️❤️
#MlKit #AndroidDevelopment #Android - Наука та технологія
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Hello mate! Thank you very much for the content, would you know how to obtain the distance of each side of the rectangle?
I change the screen orientation to landscape and the facebox is not detecting on the face, but it"s misleading. Can you help me
Sir i add imageProxy bitmap on imageView but camera result lagging, how can we draw bounding box direct on preview please help
Sir, great video. But when I tried your app on landscape mode the bounding box is not at the correct position its somewhere above my head, can you tell me why that is happening?
any one knows why the sc link is not active?
How to show result in imageview After scan .?thank's
Very helpfull thqnks
Can you also make tutorial how to migrate xml view to compose sir?
waiting for more videos on ML kit
nice video is there an exception incase there is no face detected
Great video
Hi sir, I am working on face detection app for attendance management, ie, I need to compare image from my server with live photo taken from camera. so can I achieve this functionality using ML kit?
Yes, You can achive.
have you done??
I am making a UG project where i have to verify students by their face recognition so in next video please include how to save facial data on cloud and use it to verify again.
I can’t seem to login to your website. The button is not responding
Bilal bhai i am waiting for kotlin multiplatform tutorial
while visiting your link ,im getting 500 internal server can you check and share me the update source link
Asalamo alikum please make a turtoial aws translate api for android now im try to do it but i have problem please help us ❤
Thanks
🎉
can you make a same tutorial for java ?
you can easily convert the kotlin to java syntax yourself. Please try. 👍👍