Uploaded December 2020 | Updated September 2026, 2 weeks ago
I like to snowboard and i like to code. Guess it's time to combine these 2 interests into one live video!! I'm going to strap a GoPro to myself as i snowboard to record training data. Then, we're going to use the latest version of the popular YOLO (You Only Look Once) algorithm to detect other snowboarders automatically. We'll look at the history of Object Detection and algorithms, then come to interesting conclusions about what makes the latest version of YOLO unique. Using the bounding boxes will help me improve my own ability to navigate and analyze different snowboarding techniques effectively. AI tech is amazing, but let's talk less about it and just build it for our own day to day uses. I'm going to ask you 3 questions about Object Detection, so i'm going to need you to start studying from my list of curated learning resources below. 3 Data Wizards will win $50 in BTC each this week, everyone on Earth is eligible, get hype!
Answer live questions here:
itempool.com/llSourcell/live
Train custom data on YOLO:
github.com/ultralytics/yolov5/wiki/Train-Custom-Data
Subscribe for more educational videos! And like. And comment.
Join the Code Royale discord server to connect with other Data Wizards before & after the stream:
discord.gg/v8QqtPy3Af
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This week's study curriculum to prepare for the game below:
Read the YOLO v1 Paper
arxiv.org/pdf/1506.02640.pdf
Watch My YOLO video:
youtube.com/watch?v=4eIBisqx9_g
Read this Nvidia doc on YOLO:
docs.nvidia.com/isaac/isaac/packages/yolo/doc/yolo.html
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Learn Machine Learning in 3 Months for free:
youtube.com/watch/Cr6VqTRO1v0
Twitter: twitter.com/sirajraval
Instagram: instagram.com/sirajraval
Email: hello@sirajraval.com
This week's prize money was sponsored by Zilliqa:
dev.zilliqa.com - Zilliqa Developer Portal
scilla.readthedocs.io - Scilla Documentation Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available):
wagergpt.co
I like to snowboard and i like to code. Guess it's time to combine these 2 interests into one live video!! I'm going to strap a GoPro to myself as i snowboard to record training data. Then, we're going to use the latest version of the popular YOLO (You Only Look Once) algorithm to detect other snowboarders automatically. We'll look at the history of Object Detection and algorithms, then come to interesting conclusions about what makes the latest version of YOLO unique. Using the bounding boxes will help me improve my own ability to navigate and analyze different snowboarding techniques effectively. AI tech is amazing, but let's talk less about it and just build it for our own day to day uses. I'm going to ask you 3 questions about Object Detection, so i'm going to need you to start studying from my list of curated learning resources below. 3 Data Wizards will win $50 in BTC each this week, everyone on Earth is eligible, get hype!
Answer live questions here:
itempool.com/llSourcell/live
Train custom data on YOLO:
github.com/ultralytics/yolov5/wiki/Train-Custom-Data
Subscribe for more educational videos! And like. And comment.
Join the Code Royale discord server to connect with other Data Wizards before & after the stream:
discord.gg/v8QqtPy3Af
------------------------------------------------------------------------------------
This week's study curriculum to prepare for the game below:
Read the YOLO v1 Paper
arxiv.org/pdf/1506.02640.pdf
Watch My YOLO video:
youtube.com/watch?v=4eIBisqx9_g
Read this Nvidia doc on YOLO:
docs.nvidia.com/isaac/isaac/packages/yolo/doc/yolo.html
------------------------------------------------------------------------------------
Learn Machine Learning in 3 Months for free:
youtube.com/watch/Cr6VqTRO1v0
Twitter: twitter.com/sirajraval
Instagram: instagram.com/sirajraval
Email: hello@sirajraval.com
This week's prize money was sponsored by Zilliqa:
dev.zilliqa.com - Zilliqa Developer Portal
scilla.readthedocs.io - Scilla Documentation Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available):
wagergpt.co
