Another post starts with you beautiful people! Thanks for giving so many views on my previous post 👍. I am glad to see my previous posts are helping people to use state of the art object detection and recognition deep learning model in their projects. If you are new to my blog, I recommend seeing once my previous posts, and you will not be disappointed if your goal is to learn applied computer vision free of cost. Continuing my journey of sharing knowledge in this post I am going to share with you a new state of the art framework for object detection on mobile devices- YOLObile 📱 There has been a trade-off between speed and the accuracy of object detections. For example, the state of the art, YOLOv4 model gives us a very accurate detection but its speed is slow if we want to use it on a mobile device. On the other hand, its lighter version YOLOv4-tiny works very fast on a mobile device but its accuracy reduces. For a detailed comparison of FPS vs mAP you can refer to the above
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