Object Detection using TensorFlow-Object-Detection_API. Object detection allows for the recognition, detection of multiple objects within an image. It provides us a much better understanding of an ...

This project demonstrates how to implement a custom object detection model using TensorFlow Lite for edge devices such as mobile and embedded systems. The model is trained on a custom dataset and ...

← A Custom Keyboard At Maximum Effort. Homebuilt CNC Software, Brewed To Taste →. 11 thoughts on “ Object Detection, With TensorFlow ” UM3SH says: July 31, 2018 at 9:23 pm Can ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

Although the image object detection technology developed quickly, the object detection in videos has special conditions such as motion blur, video defocus, part occlusion, rare posture, and needs to ...

Real-time object detection in Unmanned Aerial Vehicle (UAV) videos remains a significant challenge due to the fast motion and small scale of objects. Existing streaming perception models struggle to ...

If you have an Arlo Secure subscription for your camera, you may have noticed an interesting recent addition: A beta program for "Custom Detection" that allows you to literally train Arlo's AI to ...