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    What are the evaluation results for yolov3 & mixed Yolo Lite for shipdata?Evaluation results for YOLOv3 and Mixed YOLOv3-LITE for ShipData. 4.2.4. Performance Tests Based on Embedded Platform Mixed YOLOv3-LITE was tested with a Jetson AGX Xavier device; the results are shown in Table 10. When inputting an image with a size of 224 × 224, it reached 43 FPS.
    How do I use Yolo object detector?To apply YOLO object detection to video streams, make sure you use the “Downloads” section of this blog post to download the source, YOLO object detector, and example videos. From there, open up a terminal and execute the following command: --output output/car_chase_01.avi --yolo yolo-coco [INFO] loading YOLO from disk... [INFO] cleaning up...
    Is Yolo a good Real-Time Object Detector?YOLO achieved 63.4 mAP (mean average precision), as shown in Table 1, more than double the other real-time detectors, making it even more special. We can see that both the YOLO and Fast YOLO outperforms the real-time object detector variants of DPM by a considerable margin in terms of mean average precision (nearly 2x) and FPS.
    Why is Yolo not able to detect objects?The reason for this limitation is due to the YOLO algorithm itself: The YOLO object detector divides an input image into an SxS grid where each cell in the grid predicts only a single object. If there exist multiple, small objects in a single cell then YOLO will be unable to detect them, ultimately leading to missed object detections.
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