Questions tagged [datasets]

For questions related to sets of data and their use in AI.

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31 votes
5 answers
35k views

How can I deal with images of variable dimensions when doing image segmentation?

I'm facing the problem of having images of different dimensions as inputs in a segmentation task. Note that the images do not even have the same aspect ratio. One common approach that I found in ...
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10 votes
4 answers
260 views

How do I select the relevant features of the data?

Recently I was working on a problem to do some cost analysis of my expenditure for some particular resource. I usually make some manual decisions from the analysis and plan accordingly. I have a big ...
8 votes
3 answers
919 views

Is it okay to use publicly available Instagram videos to train an AI?

Since I haven't found any good training data for my university project, I want to use pictures and videos from public Instagram profiles. Am I allowed to do that?
8 votes
2 answers
377 views

What are examples of techniques to prevent bias in artificial intelligence systems?

I recently read an article about how artificial intelligence replicates human stereotypes when applied to biased datasets. What are examples of techniques to prevent bias (and stereotypes) in ...
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7 votes
2 answers
755 views

Is there an argument against using the (reviewed) predictions of a model as ground truth to further train exactly this model?

I plan to use my predictions as ground truth to continue training my model. These predictions are of course reviewed during this process. Is there an argument against that (reinforcement of slight ...
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6 votes
4 answers
1k views

What are some datasets to train an MLP on simple tasks? [closed]

I have implemented an MLP. Now, I want to train it to solve simple tasks. Are there any data sets to train the MLP on simple tasks, that is, tasks with a small number of inputs and outputs? I ...
6 votes
3 answers
297 views

Has anybody tried unsupervised deep learning from youtube videos?

YouTube has a huge amount of videos, many of which also containing various spoken languages. This would presumably provide something like the data that a "challenged" baby would experience - "...
6 votes
1 answer
3k views

How to detect LEGO bricks by using a deep learning approach?

In my thesis I dealt with the question how a computer can recognize LEGO bricks. With multiple object detection, I chose a deep learning approach. I also looked at an existing training set of LEGO ...
5 votes
2 answers
290 views

Why do we need both the validation set and test set?

I know that this has been asked a hundred times before, however, I was not able to find a question (and an answer) which actually answered what I wanted to know, respectively, which explained it in a ...
5 votes
2 answers
445 views

How can I train a neural network for image classification when the dataset is small?

I need to train a convolutional neural network to classify snake images. The problem is that I have only a small number of images available for some snake types. So, what is the best approach to train ...
5 votes
4 answers
8k views

Traffic signs dataset [closed]

I'm looking for annotated dataset of traffic signs. I was able to find Belgium, German and many more traffic signs datasets. The only problem is these datasets contain only cropped images, like this: ...
  • 213
5 votes
1 answer
74 views

How could decision tree learning algorithms cope with imbalanced classes?

Decision trees and random forests may or not be more suited to solve supervised learning problems with imbalanced labels (or classes) in datasets. For example, see the article Using Random Forest to ...
5 votes
2 answers
888 views

What is the effect of mislabeled training data?

Collecting and labeling training data for supervised learning tasks is incredibly time-consuming and costly. For instance, let's say you wrote a script that went on Google images and got you 5000 ...
  • 474
5 votes
2 answers
3k views

Does the quality of training images affect the accuracy of the neural network?

I just got into AI few months ago. I noticed most of the images in training datasets are usually low quality( almost pixelated). Does the quality of training images affect the accuracy of the neural ...
  • 153
5 votes
1 answer
109 views

How can one find / collect data for, and come up with ideas for, using Deep Learning / AI to improve one's everyday life?

I can see a lot of tutorials and examples about using TensorFlow and other free, open-source AI/ML/DL frameworks on enterprise level where enough data was collected for such AI solutions. How can one ...
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5 votes
1 answer
78 views

Is there a database somewhere of common lists? [closed]

I'm looking for a database or some machine readable document that contains common ordered lists or common short sets. e.g: ...
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5 votes
1 answer
520 views

For each epoch, can I use only on a subset of the full training dataset to train the neural network?

If one has a dataset large enough to learn a highly complex function, say learning chess game-play, and the processing time to run mini-batch gradient descent on this entire dataset is too high, can I ...
  • 181
5 votes
1 answer
123 views

Find anomalies from records of categorical data

I have a data-set with $m$ observations and $p$ categorical variables (nominal), each variable $X_1, X_2,\dots, X_p$ has several different possible values. Ultimately, I am looking for a way to find ...
  • 51
5 votes
0 answers
2k views

How many training data is required for GAN?

I'm beginning to study and implement GAN to generate more datasets. I'll just try to experiment with state-of-the-art GAN models as described here https://paperswithcode.com/sota/image-generation-on-...
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5 votes
0 answers
124 views

Are there any easy ways to create annotated training images for object detection?

For the purposes of object detection, are there any easy ways to create annotated training images? For example, if we have $10,000$ images and want to draw bounding boxes on 2 objects for each image, ...
  • 61
4 votes
4 answers
150 views

How to classify language as friendly or aggressive with AI?

Just for the purpose of learning I'd like to classify the likeliness of a tweet being in aggressive language or not. I was wondering how to approach the problem. I guess I need first train my neural ...
  • 223
4 votes
3 answers
220 views

Would this relatively small dataset be enough to train a CNN?

Scenario: I am trying to create a dataset with images of choice for different animal classes. I am going to train those images for classification using CNN. Problem: Let's assume I somehow don't have ...
4 votes
1 answer
174 views

How should I generate datasets for a SARSA agent when the environment is not simple?

I am currently working on my master's thesis and going to apply Deep-SARSA as my DRL algorithm. The problem is that there is no datasets available and I guess that I should generate them somehow. ...
  • 153
4 votes
1 answer
1k views

What happens to the training data after your machine learning model has been trained?

What happens after you have used machine learning to train your model? What happens to the training data? Let's pretend it predicted correct 99.99999% of the time and you were happy with it and wanted ...
  • 159
4 votes
1 answer
77 views

What is the total number of actions and rewards count

Reading this two articles about Reinforcement Learning: Deep Reinforcement Learning with Double Q-learning by Hado van Hasselt et al. Human-level control through deep reinforcement learning by ...
  • 143
4 votes
2 answers
1k views

Using GAN's to generate dataset for CNN training

I'm doing bachaleor thesis on traffic sign detection using single shot detector called YOLO. These single shot detectors can perform detection of objects in image and so they have specific way of ...
  • 213
4 votes
2 answers
167 views

Which problems have neural networks yet to solve?

(Gross Oversimplification) Neural Networks model systems, black boxes with a set of inputs, and a set of outputs. To train a network for modeling this system, obtain hundreds (or millions) of possible ...
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4 votes
1 answer
132 views

What are some concrete steps to deal with the vanishing gradient problem?

I am training an ANN for classification between 3 classes. The ANN has an input layer, one hidden layer and a 3 node output layer. The problem I am facing is that the output being produced by the 3 ...
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4 votes
1 answer
95 views

Can we use ML to do anything else other than predicting (in the case of mathematical problems)?

(The math problem here just serves as an example, my question is on this type of problems in general). Given two Schur polynomials, $s_\mu$, $s_\nu$, we know that we can decompose their product into a ...
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4 votes
1 answer
317 views

Which algorithm can I use to minimise the number of wins of 2 weapons that fight each other in a game?

I have a game that involves 2 weapons, which fight against each other. Each weapon has 5 features/statistics, which have certain range. I can simulate the game $N$ times with randomly initialised ...
4 votes
1 answer
425 views

Is there any free dataset of source code along with natural language description? [closed]

I am currently working on my MSc thesis, where I try to automatically convert description of an algorithm in natural language to source code in Python (the algorithms are quite simple, like revert an ...
4 votes
1 answer
116 views

How to fill missing values in a dataset where some properties can be inputs and outputs?

I have a dataset with missing values, I would like to use machine learning methods to fill. In more detail, there are $n$ individuals, for which up to 10 properties are provided, all numerical. The ...
4 votes
2 answers
121 views

Is a basic neural network architecture better with small datasets?

I'm currently trying to predict 1 output value with 52 input values. The problem is that I only have around 100 rows of data that I can use. Will I get more accurate results when I use a small ...
4 votes
1 answer
40 views

Looking to build, compile, and/or find dataset for serial-parallelized code examples

I'm looking to perform two tasks: Train a classifier to classify code as serial or parallel Train a generative algorithm to generate parallel code from serial For the first task a simple scraper ...
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4 votes
1 answer
1k views

Dataset containing images of varying dimensions and orientations

I am new to deep learning. I have a dataset of images of varying dimensions of a certain object. A few images of the object are also in varying orientations. The objective is to learn the features ...
4 votes
2 answers
45 views

Can I use self-driving car's data set for left-hand drive cars which drive on the right lane for right-hand cars which drive on the left lane?

Can I use self-driving car's data set for left-hand drive cars which drive on the right lane for right-hand self-driving cars which drive on the left lane?
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4 votes
2 answers
87 views

How should I select the features for predicting diseases (in particular when patients specify their health issues)?

My aim is to train a model for predicting diseases. Now, according to this Wikipedia article, diseases are classified based on the following criteria in general: Causes (of the disease) Pathogenesis (...
3 votes
2 answers
100 views

Are there tools to help labelling images? [closed]

I need to manually classify thousands of pictures into discrete categories, say, where each picture is to be tagged either A, B, or C. Edit: I want to do this work myself, not outsource / crowdsource ...
  • 131
3 votes
1 answer
1k views

How to generate labels for self-supervised training?

I've been reading a lot lately about self-supervised learning and I didn't understand very well how to generate the desired label for a given image. Let's say that I have an image classification task, ...
3 votes
1 answer
2k views

What are "proxy data sets" in machine learning?

The paper Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration uses the term "proxy data sets" in this way To develop DL ...
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3 votes
2 answers
200 views

Can we use genetic algorithms to evolve datasets?

Genetic algorithms are used to solve many optimization tasks. If I have a dataset, can I evolve it with a genetic algorithm to create an evolved version of the same dataset? We could consider each ...
3 votes
3 answers
234 views

If we want to classify something as either a cat/dog or neither, do we need 2 or 3 classes?

Suppose one trains a CNN to determine if something was either a cat/dog or neither (2 classes), would it be a good idea to assign all cats and dogs to one class and everything else to another? Or ...
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3 votes
1 answer
158 views

How to determine the quality of synthetic data?

I'm working on a VAE model to produce synthetic data of X-Ray diffraction spectrums. I try to figure out how I can measure the quality of the spectrums. The goal would be to produce synthetic data ...
  • 33
3 votes
1 answer
142 views

Is it possible to classify resistors using ResNet50?

I want to train ResNet50 model using resistor images like below: I tried it by collecting data from google images and there were quite few. So accuracy was very low (around %10) but I wonder If it is ...
  • 192
3 votes
6 answers
135 views

How can I cluster this data frame with several features and observations?

How can I cluster the data frame below with several features and observations? And how would I go about determining the quality of those clusters? Is k-NN appropriate for this? ...
3 votes
1 answer
76 views

Can you let specific data impact a neural network more than other data?

I have a lot of empty values in my dataset, so I want to let my neural network 'learn more' on the rows that have no empty values because these rows are of higher importance. Is there a way to do ...
3 votes
2 answers
138 views

Is there a possibility that there is no relationship between some inputs and outputs?

I'm doing machine learning projects. I took a look at many datasets I worked with, mostly there are already famous datasets that everyone uses. Let's say I decided to make my own dataset. Is there a ...
  • 213
3 votes
2 answers
769 views

Which evaluation methods can I use for image segmentation?

I implemented an image segmentation pipeline and I trained it on the DICOM dataset. I compared the results of the model with manual segmentation to find the accuracy. Is there other methods for ...
3 votes
1 answer
293 views

Use cross-validation to train after model selection

I have been recently reading about model selection algorithms (for example to decide which value of the regularisation parameter or what size of a neural network to use, broadly hyper-parameters). ...
  • 326
3 votes
2 answers
449 views

How to generate a dataset for question answering from books (like Facebook's bAbI)?

I wanted to train a chatbot for answering questions from books. I am trying to use Dynamic Memory Networks to do so. How can I generate a data set, as Facebook did in the case of bAbI tasks, so that ...

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