Questions tagged [datasets]
For questions related to sets of data and their use in AI.
104
questions
1
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0answers
5 views
Mobile App Recommendation: How to get the rate of a specific user submit for a specific application
I have a mobile app recommendation project, so I need data set which has user-app matrix-rate. Actually, I want to know what rate does a specific user submit for a specific application. in other words,...
1
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0answers
17 views
Train detector : 300 images with 30 objects or 9000 images with one?
so I have this dataset of images of people sitting in a restaurant.
I've annotated about 300 images with an average of 30 instances of "person" per image.
Now I'm wondering if I should have annotated ...
2
votes
0answers
20 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?
1
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0answers
56 views
What can be inferred about the training data from a trained neural network?
Suppose we trained a neural network on some training set that we call $X$.
Given the neural network and the method of training(algorithm, hyperparameters etc.) can we infer anything about $X$.
Now, ...
1
vote
1answer
43 views
Examples of time-varying graph-structured data in real world
I'm looking for examples of time-varying graph-structured data for time-varying graph CNNs. First, I came up with the idea of infection network. Is there anything more? If possible, I want data that ...
2
votes
1answer
44 views
How do I know if my dataset is ready for a machine learning model?
I am new in this area of Machine Learning and Neural Networks. Currently, I'm taking some courses on Udemy and reading a book about it, but I still have one big question regarding data pre-processing.
...
0
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1answer
32 views
Decide Number of input Parameters and Output Parameters - ANN
I have to create a Neural Network for regression purpose. Basically, I created a Model which predict next 5 values when we give past 6 values.
I want to make a change in this neural network. For ...
1
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0answers
56 views
How to choose our data set wisely?
I have a couple of questions and I was wondering if you could answer them.
I have a bunch of images of the cars, side view only. I want to train the model with those images. My objects of interest ...
1
vote
1answer
23 views
Further Normalization of Standardized data - ANN
I want to develop a regression model using the artificial neural network. For developing such a model I use standardised ( z-score normalised ) data.
given below is the sample data set. Here MAX is ...
0
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1answer
13 views
Are absence of labels for classes of interest in a vision dataset a big problem?
I wish to be able to detect: pedestrians, cars, traffic lights
I have two large datasets:
- One contains instances and labels of all three classes.
- The other contains instances of all three but ...
3
votes
2answers
59 views
Are there tools to help labelling images?
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 ...
1
vote
0answers
26 views
Generate QA dataset from large text corpus
I have a corpus of a domain data in form of 10-15 books pdf and some articles and my end-goal is to make a question-answering system particular to that domain.
For that, I would need a dataset on Q/A ...
0
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0answers
13 views
Will balancing dataset of images for object detection for a single-shot OD (Yolov3-spp) by cropping lower the quality of the model?
I'm trying to work out an approach to balancing my dataset, which is a subset of a google openimages - some classes are represented orders of magnitude more than others and I am hesistant to simply ...
0
votes
2answers
45 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 ...
1
vote
2answers
33 views
Are there tools to help clean a large dataset so that it only contains faces?
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 want the pictures that contain faces, and it is best ...
0
votes
2answers
64 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 ...
0
votes
0answers
23 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 ...
2
votes
2answers
93 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 ...
1
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0answers
32 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 ...
2
votes
0answers
37 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 ...
1
vote
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 ...
0
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0answers
18 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
vote
1answer
32 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 ...
1
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0answers
75 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
vote
1answer
225 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 ...
1
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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 ...
0
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0answers
14 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 ...
0
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0answers
36 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
votes
1answer
25 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
vote
2answers
1k 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
vote
2answers
28 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
29 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 ...
0
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0answers
25 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 ...
0
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0answers
40 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
votes
1answer
88 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
votes
0answers
45 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
votes
2answers
286 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
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 ...
1
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0answers
116 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
votes
1answer
590 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
votes
2answers
82 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
votes
2answers
94 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.
1
vote
0answers
32 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
votes
1answer
36 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 ...
1
vote
1answer
105 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
vote
1answer
33 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
votes
1answer
149 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
37 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 ...
1
vote
0answers
17 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
votes
0answers
32 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 ...
