All Questions
10 questions
1
vote
0
answers
65
views
Denoising Prior to Image Classification
From what I have read, Denoising during preprocessing for image classification tasks seems to be a bit controversial.
While on one hand it might improve classification accuracy, the computational ...
- 123
0
votes
1
answer
240
views
the size of training data set in the context of computer vision
Generally speaking, for training a machine learning model, the size of training data set should be bigger than the number of predictors. For a neural network, or even a deep learning model, the number ...
- 157
2
votes
3
answers
382
views
Can the same CNN architecture be used for different data sets?
I have a CNN architecture that works well on 32x32x3 images. Can I use that same architecture for a data set made up of 28x28x1 images? (Both data sets have 10 classes). If this is possible, what ...
- 21
1
vote
1
answer
47
views
Reconize a card from a video stream
I want to make an mobile app where you scan using the camera and it gives you the card you just scanned. (from a board game)
I got a PNG of each and every single existing cards, but I don't really ...
- 11
1
vote
0
answers
869
views
Examples for multi-input Convolutional Neural Network
I want to create a multi inputs Convolutional Neural Network (cnn) that takes two inputs and produces one output of the inputs class by using Keras. I searched for resources that explain multi inputs ...
- 2,015
8
votes
2
answers
183
views
Neural Network Architecture for Identifying Image Copies
I have a large image collection and wish to identify the images within that collection that appear to copy other images from the collection.
To give you a sense of the kinds of image pairs that I ...
- 204
3
votes
2
answers
219
views
Simple Object Detection
I want to create a simple object detection tool. So basically an image will be provided to the tool and from that, it has to detect the number of objects.
For example
An image of a dining table ...
- 131
4
votes
0
answers
449
views
Spatial Transformer Networks and Data Augmentation
We are all familiar with the famous Deep Mind paper STN.
Upon implementation, such as here, did anyone still use input data augementation such as affine transformations?
There are used to make CNN ...
- 273
5
votes
2
answers
812
views
How to predict on part of image after training on other part of image?
I have images of identity cards (manually taken so not of same size) and I need to extract the text in it.
I used tesseract to predict bounding boxes for each letter and am successful to some extent ...
- 253
5
votes
1
answer
4k
views
What is the depth of an image in Convolutional Neural Network?
I am learning cs231n Convolutional Neural Networks for Visual Recognition. The lecture notes introduce the concepts of width, height, depth. For example,
In CIFAR-10, images are only of size ...
- 219