Machine Learning use in Flutter - The 2024 Flutter ML Guide
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Welcome to Machine Learning in Flutter: The Complete Guide
Master the integration of machine learning models in your Flutter applications with the most comprehensive Google Flutter ML course available online.
No prior knowledge of machine learning or computer vision required! Whether you are a beginner or an experienced developer, this course will guide you through using and training machine learning models in Flutter (Android & iOS) applications.
What You Will Learn:
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Utilize Existing ML Models: Learn to integrate pre-trained TensorFlow Lite models and Firebase ML Kit into your Flutter applications for both Android and iOS.
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Train Custom ML Models: Discover how to train your own machine learning models for image classification and object detection without needing extensive background knowledge.
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Computer Vision Techniques: Implement advanced computer vision features like image classification, object detection, image segmentation, barcode scanning, pose estimation, and more.
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Real-time Applications: Build applications that process live camera footage for real-time ML tasks, including text recognition, face detection, and image labeling.
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Comprehensive Flutter Projects: Create over 20 complete Flutter applications, showcasing your ability to handle various ML tasks and computer vision models.
Machine Learning Features Covered:
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Image Classification: Classify images from the gallery and live camera footage.
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Object Detection: Detect objects in images and real-time camera frames.
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Image Segmentation: Make images transparent by segmenting them.
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Barcode Scanning: Scan barcodes and QR codes.
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Pose Estimation: Detect human body joints.
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Text Recognition: Recognize text in images.
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Text Translation: Translate text between different languages.
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Face Detection: Detect faces, facial landmarks, and expressions.
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Smart Reply: Generate smart reply suggestions in chat applications.
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Digital Ink Recognition: Recognize handwritten text.
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Language Identification: Identify the language of a given text.
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Entity Extraction: Extract different entities from text.
Course Highlights:
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Introduction to Key Libraries:
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Image Picker: Choose images from the gallery or capture with the camera.
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Camera: Access live camera footage frame by frame.
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Firebase ML Kit Integration:
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Build applications using features like image labeling, barcode scanning, text recognition, face detection, and more with both static images and live camera footage.
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TensorFlow Lite Models:
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Implement pre-trained models for image classification and object detection.
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Create real-time applications using models like MobileNet and EfficientNet.
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Training Custom Models:
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Gather and prepare datasets.
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Train image classification and object detection models.
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Convert models to TensorFlow Lite format for use in Flutter apps.
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Who This Course is For:
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Beginners: Those new to Flutter and mobile app development.
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Intermediate Developers: Flutter developers looking to integrate advanced ML features.
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Experienced Developers: Developers seeking to enhance their apps with custom machine learning and computer vision models.
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Tech Enthusiasts: Anyone interested in exploring AI and ML within mobile applications.
Why Enroll?
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Comprehensive Content: Over 20 fully-fledged Flutter applications.
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Expert Instruction: Led by Muhammad Hamza Asif, with 6+ years of experience and a community of 60,000+ students.
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Complete Confidence: 30-day money-back guarantee from Udemy.
Join now and transform your Flutter development skills with powerful machine learning capabilities. Click “Buy Now” to start your journey in the world of AI-driven Flutter applications!
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19Section IntroductionVídeo Aula
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20Setting up the Image Labeling With Images Flutter ProjectVídeo Aula
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21Adding Library in Flutter and Setup for Android and IOSVídeo Aula
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22Performing Image Labeling in Flutter With ImagesVídeo Aula
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23Showing ML models results on Screen to the User in FlutterVídeo Aula
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24Image Labeling with Images in Flutter OverviewVídeo Aula
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25Building GUI of Image Labeling with Images Flutter ApplicationVídeo Aula
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26Making Image Labeling Results Look better in FlutterVídeo Aula
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27Setting up Real Time Image Labeling Project in FlutterVídeo Aula
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28Setting up Image Labeling Library for Android & IOS in FlutterVídeo Aula
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29Converting Camera Frames and Processing them one by one in FlutterVídeo Aula
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30Passing Frames on Image Classification model and Getting Results in FlutterVídeo Aula
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31Building GUI of Realtime Image Classification Flutter ApplicationVídeo Aula
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32Showing Frame Image on Camera Footage in FlutterVídeo Aula
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33Barcode Scanning Section IntroductionVídeo Aula
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34Setting up Barcode Scanner Application ProjectVídeo Aula
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35Adding Barcode Scanner Package and Creating ScannerVídeo Aula
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36Performing Barcode Scanning in Flutter with ImagesVídeo Aula
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37Barcode Scanning with Images OverviewVídeo Aula
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38Setting up Realtime Barcode Scanning Application ProjectVídeo Aula
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39Performing Barcode Scanning with frames of live camera footageVídeo Aula
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40Testing Realtime Barcode Scanning ApplicationVídeo Aula
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41Realtime Barcode Scanning Application OverviewVídeo Aula
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42Face Detection Section IntroductionVídeo Aula
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43Setting up the Face Detection with Images ProjectVídeo Aula
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44Adding the Library and creating Face DetectorVídeo Aula
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45Performing Face Detection in Flutter With ImagesVídeo Aula
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46Drawing Rectangles around detected Faces on ImagesVídeo Aula
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47Drawing Facial ContoursVídeo Aula
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48Facial Landmarks DetectionVídeo Aula
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49Face Classification / Emotion DetectionVídeo Aula
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50Face Detection with Images OverviewVídeo Aula
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51Setting Up Realtime Face Detection Flutter ProjectVídeo Aula
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52What we have done so farVídeo Aula
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53Creating Face DetectorVídeo Aula
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54Drawing Rectangles Around Detected Faces In RealtimeVídeo Aula
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55Face Detector PainterVídeo Aula
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56RealTime Face Detection Application TestingVídeo Aula
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57Drawing Facial Contours In RealtimeVídeo Aula
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58RealTime Facial Contours Detection TestingVídeo Aula
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59RealTime Face Detection In Flutter OverviewVídeo Aula
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60Object Detection Section IntroductionVídeo Aula
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61Setting Up Object Detection With Images ProjectVídeo Aula
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62Performing Object Detection With Images In FlutterVídeo Aula
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63Drawing Rectangles Around Detected Object In FlutterVídeo Aula
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64Object Classification With ImagesVídeo Aula
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65Setting Up Real Time Object Detection Application ProjectVídeo Aula
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66Performing Object Detection With Frames of Live Camera Footage in FlutterVídeo Aula
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67Drawing Rectangles Around Detected Objects In RealtimeVídeo Aula
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68Realtime Object Detection TestingVídeo Aula
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69RealTime Object Classification in FlutterVídeo Aula
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70Realtime Object Detection Testing Drawing Names of Detected ClassesVídeo Aula
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71Live Feed Object Detection OverviewVídeo Aula
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72Text Recognition Section IntroductionVídeo Aula
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73Setting up Text Recognition with Images Flutter ProjectVídeo Aula
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74Performing Text Recognition With Images in FlutterVídeo Aula
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75Exploring Structure Of Recognized TextVídeo Aula
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76Text Recognition With Images OverviewVídeo Aula
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77Setting Up Realtime Text Recognition Flutter ProjectVídeo Aula
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78Performing Text Recognition With Frames of Live Camera FootageVídeo Aula
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79Drawing Rectangles Around Detected Text On Live Camera FootageVídeo Aula
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80Realtime Text Recognition Application TestingVídeo Aula
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81Exploring Output of Text Recognition ModelVídeo Aula
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82Realtime Text Recognition Application Drawing Rectangle Around Each lineVídeo Aula
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83Realtime Text Recognition OverviewVídeo Aula
