Object Detection introduction and an overview | Essentials of Object Detection

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  • เผยแพร่เมื่อ 10 ธ.ค. 2024

ความคิดเห็น • 31

  • @paedrufernando2351
    @paedrufernando2351 ปีที่แล้ว +5

    Getting to see new content and learn from your videos is like waiting for the release of a blockbuster film.. Really hyped for this series of yours..

  • @jordiwang
    @jordiwang ปีที่แล้ว +4

    Actually pretty good introductionary video, much better than other videos that has hundreds of thousands of views

  • @minhajsixbyte
    @minhajsixbyte 6 หลายเดือนก่อน +1

    Very articulated explanations, really appreciate it! thanks!

  • @alonsorodriguez5613
    @alonsorodriguez5613 2 ปีที่แล้ว +5

    You are back!!!!!!!!!!!!!!

    • @KapilSachdeva
      @KapilSachdeva  2 ปีที่แล้ว +5

      😃 I never left! .... but I know I have not been good at making and publishing consistently; hoping to do a better job this time around!

    • @alonsorodriguez5613
      @alonsorodriguez5613 2 ปีที่แล้ว +2

      @@KapilSachdeva In that case, I'm happy to have you again.

  • @mechros4460
    @mechros4460 2 หลายเดือนก่อน

    Exactly what I was looking for, thank you!

  • @kask198
    @kask198 7 หลายเดือนก่อน

    Thank you, very good overview. You must be having thorough understanding of many object detection models to deliver this kind of overview.
    I have one question (only for discussion):
    How it is "clear" (1:22) that object detection is difficult task for machines?
    I think it is important to mention why the problem is difficult (challenges) to solve from computer vision point of view.
    You did mention a couple of challenges at 10:40 but these are w.r.to DL approach.

    • @KapilSachdeva
      @KapilSachdeva  7 หลายเดือนก่อน

      Difficult if you compare it to classification problem. Where an image either belongs to class 1 or classes x. I called it difficult because of 3 reasons - you have to do localization and classification and the fact that the number of objects are variable.

  • @Game-nr3sr
    @Game-nr3sr ปีที่แล้ว +2

    Awesome + Quality Video!!

  • @Ashish-sp4hw
    @Ashish-sp4hw 9 หลายเดือนก่อน +1

    Well explained.

  • @khalilsabri7978
    @khalilsabri7978 ปีที่แล้ว +2

    Very good video, thank you !

  • @mehdizayani7760
    @mehdizayani7760 ปีที่แล้ว

    I am writing a report where I need to explain how object detection and then specifically how Yolo architecture works; can you please give me the references you used to make the videos because your explanation is very clear, and I would like to use the same resources as you.

    • @KapilSachdeva
      @KapilSachdeva  ปีที่แล้ว

      If you really want to understand then debug the code of an existing open source repository. You may not be able to understand portion of code as even though the author of code is a brilliant/smart guy he/she may not be a good programmer (as is the norm in ML community). Ask your questions in issues etc or just debug it.
      That is the best way of learning!

  • @manueljohnson1354
    @manueljohnson1354 หลายเดือนก่อน

    Excellent

  • @TeamDman
    @TeamDman ปีที่แล้ว +2

    thank you for explaining this !

  • @DSJOfficial94
    @DSJOfficial94 ปีที่แล้ว +1

    this is so good

  • @LifeKiT-i
    @LifeKiT-i 10 หลายเดือนก่อน +1

    very close to represent the whole story~

  • @MuhammadRandhawa-u7t
    @MuhammadRandhawa-u7t หลายเดือนก่อน

    the CV model has detected a good boi

  • @harshith_takkala
    @harshith_takkala ปีที่แล้ว +1

    awesome !

  • @FirstNameLastName-fv4eu
    @FirstNameLastName-fv4eu 11 หลายเดือนก่อน +1

    You are seriously biased about Fast RNN (similar) - the Neck is not a neural network if you train EfficientDet X (The best one)

    • @KapilSachdeva
      @KapilSachdeva  11 หลายเดือนก่อน

      Most of the new architectures in OD have neck but of course it is not mandatory