YOLOv4 TFLite Object Detection Android App Tutorial Using YOLOv4 Tiny, YOLOv4, and YOLOv4 Custom

Make YOLOV4 TFLite Object Detection Mobile app for Android using YOLOv4 Tiny, YOLOV4, and custom trained YOLOv4 TFLite models. TFLite YOLOv4 Tiny model along with object detection android app code can be obtained from the GitHub repository linked below while we converted YOLOV4 and custom YOLOV4 to TFLite using one of our other tutorials linked below.

*APK files for all three TFlite models are available for our Patreon supporters*

Links:
https://github.com/haroonshakeel/tensorflow-yolov4-tflite

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► My Other Tutorials:
○Build and Install OpenCV 4.5.1 With CUDA GPU Support on Windows 10: https://youtu.be/YsmhKar8oOc
○ Custom YOLOv4 Object Detection with TensorFlow and TFLite : https://youtu.be/vzTCJM18uoM
○ Install TensorFlow GPU Under 90 Seconds: https://youtu.be/toJe8ZbFhEc
○ Install PyTorch GPU Under 90 Seconds: https://youtu.be/raBkhUoeOHs
○ Darknet YOLOv4 Custom Object Detection: Part 2 (Training YOLOv4 Darknet): https://youtu.be/-NEB5P-SLi0
○ Darknet YOLOv4 Custom Object Detection: Part 1 (Preparing Custom Dataset): https://youtu.be/sKDysNtnhJ4
○ YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT: https://youtu.be/tCmC7nyfJp8
○ Darknet YOLOv4 Object Detection for Windows 10 on Images, Videos, and Webcams: https://youtu.be/FE2GBeKuqpc
○ Real-Time Object Detection on Webcam and Videos Using OpenCV With YOLOv3 and YOLOv4 | Windows Linux: https://youtu.be/FjyF03uawsA
○ Build and Install OpenCV 4.4.0 With CUDA (GPU) Support on Windows 10: https://youtu.be/tjXkW0-4gME
○ Install TensorFlow GPU and PyTorch with CUDA on Windows 10 Anaconda | CUDA 10.1 cuDNN 7.6: https://youtu.be/PlW9zAg4cx8
○ Real-time Multiple Object Tracking with YOLOv4 TensorFlow and Deep Sort | Linux, Windows: https://youtu.be/GagII5PAeKg
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DISCLAIMER: Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. There is no additional charge to you!

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