Object Detection introduction and an overview | Essentials of Object Detection

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This is an introductory video on object detection which is a computer vision task to localize and identify objects in images.

Notes -
* I have intentionally not talked about 2-stage detectors.
* There will be follow-up tutorials that dedicated to individual concepts
  1. Kapil Sachdeva
  2. objectdetection
  3. machinelearning
  4. deeplearning
  5. computervision
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Комментарии
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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..

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

jordiwang
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Very articulated explanations, really appreciate it! thanks!

minhajsixbyte
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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.

kask
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very close to represent the whole story~

LifeKiT-i
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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.

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

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