Task Mate Kenyan Sign Language Classification Challenge
'/%3e%3c/defs%3e%3cpath fill='%23fff' d='M-120-80h240V80h-240z'/%3e%3cpath d='M-120-80h240v48h-240z'/%3e%3cpath fill='%23060' d='M-120 32h240v48h-240z'/%3e%3cg id='b'%3e%3cuse xlink:href='%23a' stroke='%23000'/%3e%3cuse xlink:href='%23a' fill='%23fff'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='scale(-1 1)'/%3e%3cpath fill='%23b00' d='M-120-24v48h101c3 8 13 24 19 24s16-16 19-24h101v-48H19C16-32 6-48 0-48s-16 16-19 24z'/%3e%3cpath id='c' d='M19 24c3-8 5-16 5-24s-2-16-5-24c-3 8-5 16-5 24s2 16 5 24'/%3e%3cuse xlink:href='%23c' transform='scale(-1 1)'/%3e%3cg fill='%23fff'%3e%3cellipse rx='4' ry='6'/%3e%3cpath id='d' d='M1 5.85s4 8 4 21-4 21-4 21z'/%3e%3cuse xlink:href='%23d' transform='scale(-1)'/%3e%3cuse xlink:href='%23d' transform='scale(-1 1)'/%3e%3cuse xlink:href='%23d' transform='scale(1 -1)'/%3e%3c/g%3e%3c/svg%3e)
Helping Kenya
$5 000 USD
Completed (over 4 years ago)
Classification
Computer Vision
601 joined
177 active
Start
07 Nov 21
Close
27 Feb 22
Reveal
27 Feb 22
'%3e%3cg id='b'%3e%3cpath id='a' fill='%23E5BE01' d='M116.1 0 35.692 4.699l76.452 25.35L33.26 13.777l67.286 44.273L28.56 21.915l53.534 60.18-60.18-53.534 36.135 71.985L13.777 33.26l16.272 78.884-25.35-76.452L0 116.1-1-1z'/%3e%3cuse xlink:href='%23a' transform='scale(1 -1)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='scale(-1 1)'/%3e%3ccircle r='34.3' fill='%23E5BE01' stroke='%2300A1DE' stroke-width='3.4'/%3e%3c/g%3e%3c/svg%3e)
All my Fastai Bag of Tricks in one notebook.
Notebooks Ā· 28 Feb 2022, 11:09 Ā· edited 2 minutes later Ā· 16
Hi folks, trust you had a great time in this competition. I've just made available a single-model-notebook for this competition that contains all my FastAI tricks. It gets you as low as 0.19+ without ensembles. I'm hoping you can learn one or two and get better at computer vision.......and maybe beat me in the next challenge........😁.
Find here the link to the notebook: https://github.com/osinkolu/Task-Mate-Kenyan-Sign-Language-Classification-Challenge
I've tried to explain every block of code as best as I can.......cheers. please feel free to reach out on how It could have gone better.🤝
Thanks for sharing!
Anytime Daniel.
Thank you
Sure, anytime.
Prof, I can't help but say thank you. Your bag of tricks were helpful, especially dealing with wrong labels.
Sure bro, your model is only as good as your data.....😉
Very helpful, thank you !
You're welcome.
Thanks Victor for sharing your knowledge. Very insightful and helpful.
you are welcome....
Thank you for sharing, very much appreciated
Welcome....
Prof how can I chat with you.
Reasons being that you use Colab Pro and you are Nigerian. Can you give me access to talk with you?
🤝
Prof.... wow!! thanks so much!!!
Much appreciation