Questions tagged [datasets]
For questions based on proper usage of data for Machine Learning ad other Algorithms to extract useful information.
0
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9 views
any dataset for internet of things services
i want a public dataset of all the used services in the internet of things, cloud, software, api, framework, middleware. i need for such term a list of keywords that give some information about their ...
0
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0answers
22 views
Small deeplearning dataset and architecture
I am doing some amateur research on training neural nets with alternative (non-SGD) approaches. Are there any known CNN architectures (other then Lenet-5), which have less number of parameters and ...
0
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2answers
38 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
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0answers
20 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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0answers
9 views
Chosing from wide range of methods for Imputing Data
Every time I work onto various data-sets and into handling missing values for the data, a bunch of approach strikes me. How to proceed in such situation?
Is there collaborative approach or ...
0
votes
1answer
23 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 ...
0
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0answers
13 views
Terrain Heightmap Dataset For Training
I'm building an application that utilizes machine learning to generate terrain heightmaps based on labels. For example, if the input label is "forest", the application shall generate a heightmap that ...
-1
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1answer
29 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
23 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 ...
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0answers
26 views
Is there any negative impact on classification model if training image data is rotated out of canvas?
Take training image classification model as an example, when there is limited amount of data, it is not uncommon to augment data by randomly rotating image data but I often see the resulting image is ...
2
votes
1answer
51 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
23 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
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0answers
11 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
14 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
22 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
vote
1answer
45 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
18 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
votes
3answers
152 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
votes
1answer
38 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
votes
1answer
60 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 ...
0
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0answers
83 views
How can I deal with 4 channel image with pytorch?
I have 4 channel RGB-D data.
(RGB 3-channel image with depth information per pixel)
What I want is, use these data as input for trained network (and this one is not made by me.).
However, this ...
3
votes
2answers
26 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
votes
1answer
66 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
votes
1answer
140 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
17 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
26 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
votes
1answer
86 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
votes
2answers
56 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
votes
2answers
77 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
votes
2answers
94 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
votes
1answer
41 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
vote
2answers
31 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
votes
1answer
68 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; ...
-1
votes
1answer
196 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
46 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 ...
1
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0answers
30 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 ...
5
votes
2answers
2k 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 ...
1
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0answers
20 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 ...
4
votes
3answers
59 views
Can machine learning help me digest asymmetrical order descriptions?
I have order data, here's a sample:
...
0
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0answers
17 views
Dataset of UIs augmented by Machine learning
Does anyone know of any dataset repository containing user interfaces augmented in some way by machine learning?
Ideally something like Rico, but listing ui components that uses machine learning ...
0
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0answers
26 views
Retraining a trained model in real-time
I have a trained CNN model which is 95% Accurate. It classifies, a family and a group of friends who are eating in a restaurant. I made two folders inside the Training and Testing set with the images ...
2
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0answers
36 views
Shifting training data
I want to create a neural network and train it on some data, however I want to be able to create a new model without retraining it from the start.
An example, I have 1000 data points in my training ...
6
votes
3answers
232 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 - "...
4
votes
1answer
27 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 ...
4
votes
3answers
84 views
Good idea to assign different objects to same class?
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 ...
0
votes
1answer
62 views
How to make training data for AI
Right now I'm planning to make a DNN for classifying taste of crystals with their molecular structure which include information like no of atoms mass of each atoms atomic no of atoms. How should I ...
2
votes
0answers
53 views
Classification Learning - Normalization of time series and live usage
UPDATE: The tables look messed up so i put them on pastebin for better
visibility. https://pastebin.com/gDX28uVF
I am using Neural Network with different learning types (for example Standard ...
0
votes
2answers
41 views
A way to give more weight to particular data?
Let us for these purposes say with are working with any feed forward neural network.
Let us also say, that we know beforehand that certain portion of our dataset arsignificantly more impactful or ...
3
votes
1answer
64 views
Find anomalies from records of categorical data
I have a data-set with m observations and p categorical variables (nominal), each variable ...
0
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0answers
272 views
PASCAL VOC dataset
I am trying to train a deep network on PASCAL VOC 2012 dataset. But the number of images are a bit too few. There are some papers that mention about augmented PASCAL VOC set (like PSPNet, Section 5.3)....
