Image Classification Using Vision Transformer | ViTs on Google Colab

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Learn how to train Vision Transformers (ViTs) on your custom dataset using Google Colab in this step-by-step tutorial! 🚀 We'll guide you through the entire process, from setting up your Colab environment to training and evaluating your model.

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  1. Code With Aarohi
  2. transformers
  3. visiontransformers
  4. vits
  5. imageclassification
  6. computervision
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Комментарии
Автор

Excellent video with superb way of explaination

arnavthakur
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Well done, Lots of love from Lahore Pakistan, this video is long awsited

hamidraza
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Thankyou so much, ma'am Nice video

HarshDewangan-klur
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much thanks, great explanations. thx for providing the code.

jeffg
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how can we add any pre trained model for example ResNet50 before the ViT

swatimishra
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Great job! Is it possible to apply ViT to segmentation cases?

alisson_pina
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Really loved the explanation
I am getting train ccuracy of 26% for the classification model i built with 800 images for each class, can you please tell on how to improve it

adityabala
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Ma'am please make a video on

Copy Move Forgery Detection in video using Machine Learning
Using yolo model and casia V1, V2 dataset

fatima-arbab
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Is it possible to apply ViT for video classification?

vidhyajeyachandran