195 - Image classification using XGBoost and VGG16 imagenet as feature extractor

Code generated in the video can be downloaded from here:

XGBoost documentation:

[inusahmukaila]

you are really a good teacher, i appreciate good work

[whoami]

Have you ever work on using XGboost to classify both image and text data? For example, classify "meme", so image + text column

[tanmaydeshpande]

Hello Sreenivas sir!
I am working on a project named *Semantic Segmentation for Autonomous Vehicles in different weather conditions*
For this, we are using *A2D2 Semantic Segmentation* dataset. This dataset contains images with their annotations ready.
Our aim is to create a model which is robust in different weather conditions.
For the adding the different weather effects, have used different Image Processing Techniques for image augmentation for 4 weather effects : rainy, foggy, cloudy & snowy.
Now for Semantic Segmentation, we are using *ENCODER-DECODER* model where we are using VGG16 pretrained model on Imagenet + FCN (Fully Convolutional Networks).
I am trying the standard process of adding convolutional layers, deconvolutional layers, unpooling, etc for the FCN part but i am not that confident.
*Questions:-*
1) How should i approach FCN part? I am doing trial-error for this purpose. Any suggestions.
2) I have created 950 images of each weather condition. The annotated images of all the 4 weather effects will be same. Can it overfit the model where the truth value will be same for all the 4 weather effects?
3) I was thinking of adding another feature extraction NN which will provide information about the weather effects. The o/p of this feature extraction network would be added to the FCN part to increase robustness of the model.
Any suggestions or tips will be helpful.
Thank you & Stay Safe!

[fatmagulkurt]

How can I apply k-fold cross validation in this code. I wish you may help me in this situation. Thank you for all your effort Sir.

[kenanmorani]

Thank you for your effort Sir! Wish you all the best! I have a question regarding classification for medical image when using your approach. Obviously, you have implemented your method on categories or classes that are well differentiable, but it it still worth trying for medical CT images of classification such as COVID19 classification task? Do you have different codes or recommendation for such a task? Best!

[aurora-uec]

Hey, thank you for the fantastic video; I have a question about feeding input to the VGG16; Can we also feed NumPy arrays to VGG16 and extract features from our NumPy arrays instead of images? If yes, are we limited to using packages from Keras preprocessing to be on the safe side regarding our calculations, or can we simply load arrays with whatever we want? Thanks.

[vamsikrishnabhadragiri]

Can we do data argumentation and perform Xgboost later? If in case, it is yes then how the labels will be given?

[nobody]

Where can we download the data ?? And, how to arrange the data in subfolders??

[SakibHasan-qvgf]

#Now, let us use features from convolutional network for RF
got a error on this linr please help"

[vibhajain]

How can I measure complexity of the proposed approach

[vidyasvidhyalaya]

sir, please upload a separate video for how to convert this model into a local web application using Flask sir...please

[elyesachour]

Amazing video!!
I was wandering if I can save my trained model so I can call it one more time without rerunning it and how to do so.
I'm actually trying to classify 3 classes with a limited number of features and I'm getting an 0.59 in accuracy, I've tried data augmentation with ImageDataGenerator but the accuracy has become 0.58.
What should I do to increase it.
Thank you

[sharp_guy]

Hi sir currently I'm dealing with a data set in which there's only two categories and each having only 36 images for training.. can i use the method u discussed above?

[matheuscesar]

I keep getting this error 'int' object has no attribute 'assign' in -->

[dylangaldes]

Is it a good image classification model? I am doing a paper on plant disease detection and am looking into XGBoost

[LiuYi_]

please do a video on multilabel image classification using vgg16

[dylangaldes]

When fitting the train data I am getting a bad allocation error, any idea why this may be?

[SauravKumar-xzek]

Hello Sir, can we use XGBoost and CNN model( for feature extraction ), for doing classification of arthritis from input images?

[whoami]

when i use this line "x_train, x_test = x_train / 255.0, x_test / 255.0", I have a error of "TypeError: unsupported operand type(s) for /: 'list' and 'float'".

Do you know what happended?

[amiralx]

Hi great videos I've seen most of them but I don't understand why you would convert the image from bgr to rgb when you read the image with opencv it will be in bgr format so you should convert it from bgr2rgb no ?