Abstract: 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 ...
To address the issues of low detection accuracy and poor real-time performance in existing methods for detecting minor abnormalities such as cracks, oil leaks, and loose bolts in rotating industrial ...
TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach When working on ML applications such as object detection and NLP, it is ...
In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.
Artificial Intelligence (AI) has revolutionized various sectors, from healthcare to finance, and the demand for skilled AI engineers has surged. These professionals play a crucial role in designing, ...
This wiki describes how to work with object detection models trained using TensorFlow Object Detection API. OpenCV 3.4.1 or higher is required. Deep learning networks in TensorFlow are represented as ...
An extensive ROS toolbox for object detection & tracking and face recognition with 2D and 3D support which makes your Robot understand the environment. Now it has action recognition capability by ...
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