Questions tagged [datasets]
For questions related to sets of data and their use in AI.
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6 views
Consecutive frames can be discarded when training an SSD/YOLO?
Let's say I have a number of videos, and I want to train an SSD/YOLO (or FRCNN) to detect objects. In the case of a large amount of videos, there will be a lot of frames extracted and transferred to ...
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0answers
29 views
Is there a RNN that can predict the next substitute in a floorball match?
Floorball is a type of floor hockey. During the game, substitutions can be made.
The team is also allowed to change players any time in the game; usually, they change the whole team. Individual ...
0
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1answer
20 views
transform Location data into int which will be used as input to ML model
I have features like state, city and location. Currently i am inserting this in respective tables in DB and tranform it using its primary key.
eg. country,state,city = IN,Maharastra,Pune = 2,5,10 (...
1
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2answers
78 views
What is non-Euclidean data?
What is non-Euclidean data? Where does this type of data arises? Apparently, graphs and manifolds are non-Euclidean data. Why exactly is that the case? What is the difference between non-Euclidean and ...
1
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2answers
26 views
What features should a dataset to predict monthly retail sales for a motorcycle spare parts shop have?
I am making an AI model to predict monthly retail sales of a motor cycle spare parts shop, for that to be possible I have to first create a dataset. The problem I am facing is what features should the ...
0
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0answers
28 views
Is the difficulty of using deep learning for natural language processing depend on the language of the dataset?
I aim to learn deep learning for natural language processing to use it as a core idea in my final year project, and I have to use an Arabic text/speech dataset. However, most online courses deal with ...
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0answers
19 views
identifying pattern in datasets
i am new to machine learning. i'm trying to identify driving pattern through accelerometer and gyroscope sensor. i have been collecting the data of both the sensors and have been storing them in .csv ...
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0answers
22 views
NLP Task Proposal: I spy with my little eye
I order to build better artifical agents (AA) we need the right tasks and data to train on. The task I have in mind is the well-know game "I spy with my little eye", where agent A has to guess the ...
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0answers
39 views
How to use data from range of values <-1,1> in neural networks
I'd like to ask you how to use data from range <-1,1> in neural networks to have the best results? I came up with three scenarios:
Use it as it is and check if activation functions work with <-...
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0answers
20 views
How my LSTM is making association between the columns?
I have created LSTM model using the following Tensorflow code:
...
0
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0answers
11 views
How do I assign a matrix of data as a label to each input image in my dataset using PyTorch? [migrated]
I want to train a convolutional neural network (CNN) in PyTorch to predict frequency spectrum data related to an input image. Rather than assigning one label to each image (Dog, Cat, Car, Airplane, ...
0
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1answer
54 views
Parameters to calculate affluence in localities of Metro city
I have to calculate the affluence in localities of Metro city. To calculate affluence, I am considering a parameter per capita income.
Where I can get a dataset of it? What are other parameters I ...
3
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0answers
31 views
How to train CNN such it eliminate dependent features and focuses on independent ones?
How we should train a CNN model when training dataset contains only limited number of cases, and the trained model is supposed to predict class (label) for several other cases, which has not seen ...
2
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2answers
84 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 ...
1
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0answers
33 views
how to estimate which item is bought most using AI
Problem: Maintaining the products is a big task for a retailer. If we can estimate using AI to predict which products will sell the most, we can maintain sufficient stocks of the product without ...
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0answers
43 views
What are some of the drawbacks of one-shot learning?
One-shot learning seems to work really well in many application domains. Are there any major (or even minor) drawbacks of using one-shot learning? Does it have flaws that could prevent it from being ...
0
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1answer
131 views
When training an object detection network for one class, should I include empty images in the dataset?
I fine tuned MobileNetSSD for object detection using a dataset with just one class (~4000 images). All the training images include at least one bounding box related to that class (no empty images). By ...
3
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2answers
76 views
Structure in data
Consider some image classification problem. Conceptually, we then have some high dimensional space where all the images can be represented as points, and having large enough labeled data set we can ...
0
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2answers
55 views
Where can I find a dataset of IQ questions and answers?
Specifically, I am looking for a dataset that is concerned with pattern recognition. I could find no such dataset on Kaggle, and Google has been of little help.
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0answers
23 views
How to preprocess a modified dataset so that a fitted CNN makes correct predictions on an un-modified version of the dataset?
for a school project I have been given a dataset containing images of plants and weeds. The goal is to detect when there is a weed in the pictures. The training and validation sets have already been ...
0
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1answer
31 views
Doubts at basic step of learning problem
Question: Express each of the following tasks in the framework of learning from data by specifying the input space X, output space Y, target function f:X->Y and the specifics of the data set that we ...
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1answer
37 views
How to perform PCA in the validation/test set?
I was using PCA in my whole dataset (and after split to training, validation and test), but after some researchs I found out that is wrong way to do. Then I have few questions:
-Are there some ...
1
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1answer
28 views
Searching for dataset in specifix context for NLP, sentiment analysis
I would like to create an NPC engine for games which are in a fantasy context like Lord of the Rings, Warcraft, Skyrim, Dragon Age etc.
This engine should be able to determine the polarity of the ...
2
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1answer
79 views
Best way to create an image dataset for CNN
I am creating a dataset made of many images which are created by preprocessing a long time series. Each image is an array of (128,128) and the there are four classes. I would like to build a dataset ...
0
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0answers
30 views
Usefulness of Data augmentation for non-overfitting network [NLP]
(Maybe related : Usefulness of Dropout for non-overfitting network)
My neural network does not overfit.
Using Data augmentation in a non-overfitting network can increase its accuracy ?
Note : I'm ...
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0answers
14 views
input annotations quality check for large scale image data
while dealing with image data at very large scale, there are different sources where data is coming from. Often, we do not have any control over quality of labels/ annotations. I already do use ...
2
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0answers
27 views
People Counting Video Analytics: data acquisition parameters
I am interested in understanding how to choose data-acquisition parameters for the subject matter:
Frame Resolution
Frame rates (FPS)
The goal is to have 'enough' (preferably the minimal) resolution ...
1
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0answers
28 views
Preset Intent list
I'm trying to build a chat analysis that could identify the intent of check price.
Has any kind of preset intent list to train my chatbot already been done ?
Data: A data set for "check price" ...
1
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1answer
61 views
Is 1mb an acceptable memory size for images being trained in a CNN?
I am using Tensorflow CNN to build an image classification/prediction model. Currently all the images in the dataset are each about 1mb in size.
Most examples out there use very small images.
The ...
0
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1answer
33 views
how image segmentation evaluated?
I implemented the segmentation on my DICOM Dataset and it is compared with manual segmentation to find the accuracy of segmentation, is there other methods for evaluation?
4
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3answers
1k views
Traffic signs dataset
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:
...
3
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1answer
43 views
Python API for publicly available datasets
In my daily machine learning / deep learning workflow, I often want to interact with a dataset in my code.
Specifically, I would like to be able to load some module / package which can
make sure that ...
2
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1answer
64 views
Why would giving my AI more data make it perform worse?
So I trained an AI to generate shakespeare, which it did somewhat well. I used this 10,000 character sample.
Next I tried to get it to generate limericks using these 100,000 limericks. It generated ...
3
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2answers
31 views
Is a binary attribute type the same as binomial attribute type?
I am not sure if I can use the words binomial and binary and boolean as synonyms to describe a data attribute of a data set which has two values (yes or no). Are there any differences in the meaning ...
3
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1answer
75 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). ...
5
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1answer
166 views
What happens to the training data after your machine learning model has been trained?
I am completely new to all this, for the life of me I can't find the answer to this question anywhere on Google.
What happens after you have used machine learning to train your model? What happens to ...
1
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1answer
18 views
Which features of a data set can be used for market campaigning using propensity scores?
A dataset contains so many fields in which there is both relevant and irrelevant field. If we want to do a market campaigning using propensity scoring, which fields of the data set are relevant?
How ...
1
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0answers
35 views
YOLO - How much is the position of the object relevant in learning?
I have the following question about You Only Look Once (YOLO) algorithm, for object recognition in CNNs.
I have to develop a neural network to recognize web components in web applications - for ...
4
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1answer
95 views
Algorithm For Making Balanced Weapons In A Game?
I am trying to make balanced weapon pairs. So there are five stats per weapon, and I am simulating a number of combats (1000) with different stats randomized, and counting the win, lose, and draw of ...
5
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2answers
62 views
Is there a database somewhere of common lists?
I'm looking for a database or some machine readable document that contains common ordered lists or common short sets. e.g:
...
6
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2answers
81 views
How does rotating an image and adding new 'rotated classes' prevent overfitting?
From Meta-Learning with Memory-Augmented Neural Networks in section 4.1:
To reduce the risk of overfitting, we performed data augmentation by
randomly translating and rotating character images. ...
5
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2answers
112 views
Working with large datasets
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 ...
2
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1answer
44 views
Automatic image classification
I'm a complete newbie to NNs, and I need your advice.
I have a set of images of symbols, and my goal is to categorize and divide them into groups of symbols that look alike. Without teaching NN ...
1
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2answers
39 views
Normalization for well known data sets like coco-text and total text data set
In the data-sets like coco-text and total-text, the images are of different sizes (height*width). I'm using these data sets for text detection. I want to create a DNN model for this. So input data ...
3
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1answer
70 views
Is there a way to predict points on a map?
I have a data set with historical information of some events (let's say event A and event B),these events describe the discovery of land mines, the coordinates of the event and the date of the event; ...
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1answer
285 views
Are standard deviation, variance, skew good features for ML?
Pretty simple question here:
Is it useful to use the standard deviation, skew, kurtosis, or any other extrapolatory stats as features, and if so in which problem sets?
In this case, I am talking ...
0
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1answer
50 views
Can we code rules for an agent in python language other than predicate calculus?
I have a medical dataset with 14000 rows dataset with 900 attributes. I have to predict disease severity using that. I would like to know whether we can write rules in python language for training an ...
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0answers
34 views
Data Interpretation technique
In the model generation, in machine learning (consider supervised) If some data change the previous model function drastically then we should study that data. Does it happen? How to handle such ...
6
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3answers
3k views
Convolutional neural networks with input images of different dimensions - 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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0answers
36 views
Feature set out of grayscale Images for training a neural network?
Previously I had trained a Neural Networkupon 20,000 character images. This Neural Net generally works well, it uses ...
