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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...
    What is Yolo & how does it work?Let’s start by understanding what YOLO is in the first place. Many object detection models take in and process the image multiple times to be able to detect all the objects present in the images. But YOLO, as the name suggests just looks at the object once.
    Can Yolo detect people?When you run the commands above you will see a suspect on the run, we have used OpenCV and YOLO object detection to find the person! Share your output with me again on Twitter @pyimagesearch. YOLO is once again able to detect people.
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  5. YOLOv4 - Ultralytics YOLOv8 Docs

  6. Introduction to the YOLO Family - PyImageSearch

  7. Home - Ultralytics YOLOv8 Docs

  8. YOLO object detection with OpenCV - PyImageSearch

  9. Models Supported by Ultralytics - Ultralytics YOLOv8 Docs

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  14. GitHub - avanetten/yoltv4: Better, faster, peering over yonder ...

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  16. Mixed YOLOv3-LITE: A Lightweight Real-Time Object Detection …

  17. GitHub - kiyoshiiriemon/yolov4_darknet: YOLOv4 - Neural …

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