Object Detection best model / best algorithm in 2023 | YOLO vs SSD vs Faster-RCNN comparison Python

[@flueepwrien6587]

You could put the videos you are mentioning in the description for ease of use.

[@SalihFCanpolat]

I would beg to differ, ease of implementation is the WORST for YOLOv8 if you wish to implement it yourself from ground zero. Let us say you wish to prune the model to be used along with security cameras or in an environment where the GPU does not support as many operations then you need to custom make your own architecture. It is easy to follow YOLOv1 for or R-CNN but for modern YOLOv8 the whole process is convoluted mess. I believe data science channels should focus more on real world applications then data science bootcap lies.

[@phantomgaming5199]

What is the fastest and lightest model we can use? That detects/classifies object that are easy to detect. It should just have negligible impact on realtime detection

[@lolstalk]

yolov8n

[@sedatcakici4549]

Hello, just wanted to say that I love your content very much, it's very interesting and informative. Thanks a lot

[@datumlearning6204]

Thank You.

[@subhankhan6180]

I disagree with the ease of implementation, it all depends on your own transfer learning or inference file. There are heaps of examples where you just parse items and use single CLI for both SSD and Faster-RCNN. Ultimate winner should be SSD due to it’s inference and latency plus the ability to be used commercially. Most of yolo algorithms are either AGPL or GPL licensed, which requires heaps of money to be used commercially!

[@datumlearning6204]

Obviously, when I talked about ease of implementation, I meant Python and not terminal/bash. As far as commercial use is concerned, I am not going to comment on that as that was not one of the parameters of comparison. The parameters were speed, accuracy and ease of implementation. Lastly, newer versions of YOLO are the fastest, I have verified that. BTW, thank you for the question.

[@gz3442]

hardware requirement ?

[@HighlyTheoretical]

What about when using a framework like open-mmlab

[@floatonArt]

Bro can you please provide training script for the ssd and faster rcnn please

[@StudyEnablers]

So yolo v8 is winner, whats about detectron2.

[@s177267]

Dear Sir, would it be possible to have private contact related to the above topic?