YOLOv3 and YOLOv4 implementation in TensorFlow 2.x, with support for training, transfer training, object tracking mAP and so on... Code was tested with following ...

a leading provider of data observability and agentic data management solutions, today announced Adaptive AI Anomaly Detection, a cornerstone capability of its revolutionary xLake Reasoning Engine that ...

The wiring diagram and its data, freely available through the MICrONS ... Scientists at Baylor College of Medicine began by using specialized microscopes to record the brain activity from a ...

Preparing a Cash Flow Statement Creating a cash flow statement involves gathering relevant financial data, choosing a preparing method, and categorizing cash flows into operating, investing and ...

darknet detector demo cfg/coco.data cfg/yolov3-tiny.cfg yolov3-tiny.weights Driving-Chinatown-SF.mp4 for seeing yolov3 output-$./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights ...

In recent years, underwater object ... diagram of Underwater DINO (UDINO) proposed by us is shown in Figure 2. We design our model based on a popular detection backbone DINO. Since DINO includes a ...

Sonar image object detection ... imbalance in sonar data and reduce model computational complexity. Extensive experimental results demonstrate that our method outperforms state-of-the-art detectors on ...

Abstract: In industrial scenarios, existing deep generative methods face the challenge of adapting to new domains with limited data for anomaly detection. Flow-based generative models are efficient ...