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Questions tagged [datasets]

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

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2answers
34 views

Recognize pattern in dataset

I'm currently working on a group project where we need to find a pattern in a given dataset. The dataset is a collection of X, Y, Z values of a gyroscope from someone who is walking. If you plot these ...
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2answers
22 views

Tool to help clean Dataset to only contain Faces

Hi I'm a Student and trying to get a start in AI. I have a fairly large dataset consisting of different Images with and without Persons that I want to use for a Project. The Problem is that i only ...
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1answer
22 views

How to manage large amounts of image data for Training?

Right now I am trying to synthesize training images for a CNN and due to the nature of the application, there is a finite number of sample images to learn from. From other research, I expect to be ...
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0answers
7 views

Can't create datasets and load images in COCO annotator

I'm trying to annotate images with COCO key points for pose estimation using https://github.com/jsbroks/coco-annotator. As described in the Installation section I cloned the repo. I installed Docker ...
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2answers
85 views

How to fix time dimension in time varying data-sets using deep learning model for classification?

Dataset Description I am working on famous ABIDE Autism Datasets. The dataset is very big in a sense that it has more than 1000 subjects containing half of them as autisitic and other half as ...
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0answers
31 views

String matching algorithm for product recognition

I'm building a web application that collects schema.org data from different webshops as Amazon, Shopify, etc. It collects data every 6h and shows the current and lowest price. It is used for ...
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0answers
31 views

How long does it take to train MNIST data set with a simple Neural Network

I have created a simple feed forward Neural Network library in Java - and I need a benchmark to compare and troubleshoot my library. Computer specs: AMD Ryzen 7 2700X Eight-Core Processor RAM 16....
2
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0answers
35 views

Difference between retraining on different portions of data and training initially on larger data set

I have a large data set that doesn't fit in memory and would have to use something like Keras's model.fit_generator if I would like to train the model on all of the ...
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1answer
25 views

What data formats/pipelining are best to store and wrangle data which contains both text and float vectors?

Often in NLP project the data points contain both text and float embeddings, and it's very tricky to deal with. CSVs take up a ton of memory and are slow to load. But most the other data formats seem ...
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0answers
17 views

Size of dataset for feature vector with rare event

I'm doing a model to detect duplicate in my database (there is a lot of features that can be different but mean same object in the end) So I have my feature vector for my duplicate dataset which ...
1
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1answer
24 views

Do we train a logistic regression model using a dataset that is 3 times bigger than the validation dataset?

Suppose we have a data set $X$ that is split as $X_{\text{train}}$, $X_{\text{val}}$ and $X_{\text{test}}$ and the outcome variable is binary. Let's say we train three different models (logistic ...
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0answers
28 views

Deep Learning for radio signal classification with DeepSig dataset

I want to see if I can make my Software Defined Radio, SDR, to classify unknown radio signals with the help of an artificial neural network. That is, my SDR outputs a sequence of complex numbers (IQ-...
1
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1answer
75 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 ...
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0answers
25 views

What methods are there to generate artificial training examples based on existing training examples?

I have a small dataset (117 training examples) and many features (4005). Each of the training examples is binary labeled (healthy / diseased). Each feature represents the connectivity between two ...
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0answers
11 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
33 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 ...
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1answer
23 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 (...
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2answers
379 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 ...
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2answers
27 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 ...
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0answers
22 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
24 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 <-...
0
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1answer
63 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 ...
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0answers
39 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
191 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 ...
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0answers
34 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
64 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
337 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 ...
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2answers
78 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 ...
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2answers
72 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
28 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 ...
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1answer
33 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
51 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 ...
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1answer
31 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
129 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 ...
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0answers
35 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
15 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
30 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 ...
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0answers
30 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" ...
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1answer
69 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 ...
2
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1answer
66 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 ...
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3answers
2k 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
44 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 ...
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1answer
65 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 ...
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2answers
44 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
78 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
184 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 ...
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1answer
19 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 ...
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0answers
42 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
101 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 ...