Object Detection is widely utilized in several applications such as detecting vehicles, face detection, autonomous vehicles and pedestrians on streets. TensorFlow's Object Detection API is a powerful ...

Most significant improvements were observed in small object detection, where SOTA achieved an AP gain of 1.5. For O2M comparison, DIEM models achieved slightly higher AP than YOLO, which is the ...

Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of building ...

Object detection is the deep learning task of classifying and locating objects in an image with bounding boxes or segmentation masks.

Google announced support for TensorFlow 2 (TF2) in the TensorFlow Object Detection (OD) API. The release includes eager-mode compatible binaries, two new network architectures, and pre-trained ...

Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. One of the tools that can… ...