Moreover, FLS images commonly contain underwater objects with different scales and weak feature information, which presents great challenges for sonar object detection. Figure 1. Example of a ...

They further added a small object detection head to improve accuracy for small targets, and used Deformable ConvNets and channel attention mechanisms in the neck to handle irregularly shaped and ...

The YOLOv3 TensorFlow library is a pioneering implementation of the YOLO architecture for object detection processing and computing. It offers quick GPU computations, efficient results and data ...

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 ...

In this study TensorFlow's Object Detection API used in Turkey traffic sign detection and recognition of the aid intended traffic signs. A dataset suitable for TensorFlow's Object Detection API has ...

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 ...