YOLO - Object Detection Using Python

Image Detection Using Python | Discussed about Non max suppression, IoU and Anchor Boxes.

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What is YOLO?
YOLO stands for You Only Look Once
YOLO is an algorithm that uses neural networks to provide real-time object detection. This algorithm is popular because of its speed and accuracy. It has been used in various applications to detect traffic signals, people, parking meters, and animals.
With the timeline, it has become faster and better, with its versions named as:
YOLO V1
YOLO V2
YOLO V3
YOLO V4
YOLO V5
YOLO V2 is better than V1 in terms of accuracy and speed.
YOLO V3 is not faster than V2 but is more accurate than V2 and so on.

How the YOLO algorithm works?
YOLO algorithm works using the following three techniques:

1- Residual blocks: image is divided into various grids. Each grid has a dimension of n X n
2- Bounding box regression
3- Intersection Over Union (IOU) : YOLO uses IOU to provide an output box that surrounds the objects perfectly.

[mohitagarwal]

I was searching for YOLO and found many channels and playlists, but this is the best one.

[swimmingliu]

Madam could you enable these series of videos subtitle, I really need it, pls.

[MuhammadHussain-wsxs]

Absolutely Amazing Content. I have my own dataset and want to train a yolo and ssd models on this to see which performs better, i'd also like to carry out teh same type of augmentations on the dataset before training both models, do you have any video on anything similar?

[MLDSInsights]

just want to say thankyou. your videos helped me immensely. keep going. all playlists are awesome.

[mohammadriyaz]

awesome playlist, thank you for the quality content

[sherin]

If there is only 1 forward propogation how can more than 1 bounding boxes created? Each iteration creates 1 box right?

[rohitp]

Thank You for Amazing and easy explaination

[shaikrasool]

Very clear explanation and shot video of yolo..

Please make video on deep sort explanation

[saipavankumarreddy.y]

Hii can you make video on implementation of dropout for yolo models

[shantilalzanwar]

Good tutorial, thanks. Can you provide python code where this is implemented. Also any white paper where basics of yolo are explained

[anikchowdhury]

Great initiative, short and understandable video. Hope to see more ML & DL videos in your channel Aarohi!

[skynetg]

Good explanation but your title says different. It says Python, but nothing in here is python, so the title should be Key Notes on YOLO or something. Misleading title, but good video.

[vikaschoubey]

Thanks for the explanation, I have one question can we also use YOLO for web-based application for detecting GUI elements like webedit or button

[jasjyotsingh]

Mam i am a Python Data Engineer and thinking of starting this course to begin my journey in CV . Can you please let me know preprequisite

[sumitchhabra]

Hi Arohi,

I was about to start to learn from your playlist, can you please suggest whether this playlist covers both theory and code on object detection?

[AbhishekYadav-gcrp]

Hello mam can you tell currently which version of Yolo we can use for better detection

[jillurrahaman]

Sir,
its really a good one explanation of YOLO.
Thanx.

[mohdfaisal]

Hi Aarohi, is it possible if I can get these ppts? That would be more than helpful. Thank you. You're great :)

[jessieleanorariadna]

Thanks for great explanation!
How can I use YOLO for human counting (for example to measure the number of people traversing a certain passage or entrance)?

[ali_nawaz_khattak]

can we get the PPT's files for demostration at our own organization?
Thank