YOLOv9 vs YOLOv8 (Comparison on multiple videos)

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  • Опубликовано: 28 сен 2024
  • Experimentation with YOLOv8 and YOLOv9 on KITTI Dataset: A Comparative Analysis
    For queries: You can comment in comment section or you can email me at aarohisingla1987@gmail.com
    Introduction:
    In this study, we explore the performance of YOLOv8 and YOLOv9 on the KITTI dataset. Both models were trained under identical conditions, including the number of epochs, image size, batch size, and other parameters. The objective is to compare their effectiveness in object detection tasks on real-world data.
    Experimental Setup:
    Dataset: KITTI dataset
    Models: YOLOv8 and YOLOv9
    Training Parameters:
    Number of epochs
    Image size
    Batch size
    Learning rate
    Other relevant hyperparameters
    #yolov8 #yolo #yolov9 #computervision #objectdetection

Комментарии • 21

  • @CodeWithAarohi
    @CodeWithAarohi  6 месяцев назад +1

    Check this video- I have explained how to download and use kitti dataset for yolo v8. You need a same process for yolov9: ruclips.net/video/g4Q1tW988eI/видео.html

  • @sagaradoshi
    @sagaradoshi 6 месяцев назад

    Hello Aarohi,
    Thank you for making such wonderful videos with quite clear explanation.
    If you have some time request you to make some videos on Optical flow estimation using conventional and deep learning algorithms.
    Many thanks in advance 🙂

  • @TheShadow71711
    @TheShadow71711 5 месяцев назад

    What model of yolov8 and yolov9? XL? M?

  • @kamen007
    @kamen007 6 месяцев назад

    Great work!Could you please explain in detail & how to download your training model if possible?

    • @CodeWithAarohi
      @CodeWithAarohi  6 месяцев назад

      Check this video. In this video, I have explained how to use kitti dataset for yolov8. You can follow the same steps to use for yolov9:
      Check this video- In this I have explained how to download and use this dataset for yolo v8. You need a same process for yolov9: ruclips.net/video/g4Q1tW988eI/видео.html

    • @kamen007
      @kamen007 6 месяцев назад

      Many thanks.

  • @rsalazar9784
    @rsalazar9784 7 месяцев назад

    Thank you very much for the tests! And at how many FPS was the inference carried out in each model?

    • @CodeWithAarohi
      @CodeWithAarohi  6 месяцев назад +1

      I will make a detailed video in which I will talk about all the performance parameters.

  • @wywlf6912
    @wywlf6912 7 месяцев назад

    does yolov9 have pretrained models or do i have to train them myself?

    • @CodeWithAarohi
      @CodeWithAarohi  6 месяцев назад +1

      Yes Yolov9 does have the pretrained models in different variants which are trained on coco dataset. But for this tutorial, I have trained a yolov8 and yolov9 on custom dataset and trying to figure out which one is better for this kind of dataset.

  • @shinwarikhan4677
    @shinwarikhan4677 7 месяцев назад

    mam video on instance segmentation on custom dataset using yolov9,

    • @CodeWithAarohi
      @CodeWithAarohi  6 месяцев назад +2

      Right now, we can only perform object detection with yolov9

  • @soravsingla8782
    @soravsingla8782 6 месяцев назад

    Good one

  • @pifordtechnologiespvtltd5698
    @pifordtechnologiespvtltd5698 6 месяцев назад

    Nice

  • @arnavthakur5409
    @arnavthakur5409 6 месяцев назад

    Amazing work again. Watching your videos with unique content is rea"y worth full. Thank you ma'am

  • @Sunil-ez1hx
    @Sunil-ez1hx 6 месяцев назад

    Very Unique & easier way of explanation

  • @aluissp
    @aluissp 7 месяцев назад

    Interesting...

  • @ZeynepC3
    @ZeynepC3 6 месяцев назад

    I love it! Thanks