Questions tagged [labels]

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votes
1answer
31 views

How to correct mislabeled data in dataset?

I have a dataset of about 300k records. Classes are highly imbalanced (which means that one may have 30k records, and the other may have only 100). Unfortunately, about 5% of records is incorrectly ...
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0answers
9 views

Pre-trained image recognition model to label new instances of retail products

Can you recommend unsupervised image recognition models that can be loaded/ transfered? My task is to provide labels to images of retail products (the N of classes is unknown and potentially huge (~...
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0answers
17 views

Create labels or annotation from two color images

I have two categories of images to use in my deep learning model. The firs category is aerial images that contain roads (such as road-1.jpg). The second category is two color images that contains road ...
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0answers
17 views

Is there a way to use Plotly as an annotation tool, for labelling time-series for instance?

I have been tasked to create a tool aimed at labelling sections and/or precise data points of a biomedical time-series. Our main framework is written in Python. I would like to know whether it is ...
0
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1answer
12 views

CNN for checking existance of single label

i am just thinking about training a neural network which uses data of only one single label. For example: Assuming i have many images which contain a dog. Now i want to teach the network how a dog ...
3
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1answer
109 views

Tool for labeling audio

I have few thousand audio signals to label into 2 different classes and save them to numpy array for further training of models. MATLAB recently released ...
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1answer
20 views

Quickest way of multi-labelling images?

I want to make a new dataset containg thousands of (different-sized) images. Now I need to assign multiple labels to each image. Of course I already looked at github etc. and there are good labelling ...
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0answers
66 views

How to Do Label Smoothing when Legal Classes Change

Label smoothing often helps accuracy, but I'm modeling a game where only some of the possible move outputs can be legal at a time, so I think it makes sense to smooth the labels among currently legal ...
0
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1answer
8 views

Key pixels, key “features” detection in CNNs

I am working on a dataset but I don't know what the labels mean. I was wondering if using CNNs there was a way to understand which pixels where most significant for the network. A little bit in the ...
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0answers
21 views

Proportion of positive/negative label in Supervised Learning

I'm working on a Supervised Machine Learning problem and I have a question about the proportion of positive/negative label. I would like to categorize some batch as OK or NOK. But actually my batchs ...
0
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2answers
69 views

how to get labels in face recognition in keras

I was building a face recognition system the model is complelete but i am having minor issues while predicting them. I used the Image data generator to load images from by train and test folders ...
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0answers
21 views

Image Labeling Tool

Problem Now I am working on a project to identify the subjects in the image is man, woman or ...
0
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0answers
211 views

Clustering of multi-label data

The dataset consists of 1) a set of objects and 2) a set of labels, which are used to describe the objects. For the moment, for simplicity sake, each label can be marked as either true or false (...
1
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1answer
165 views

Automatic labelling of text data based on predefined entities

I'm new to NLP. I have a folder containing .txt files which are legal and specific documents. I want to label all these files based on four predefined labels. How can I do that automatically?
1
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1answer
180 views

How to label overlapping objects for deep learning model training

I am training yolov3 to detect a custom object (chickens). In a lot of my training images I have overlapping chickens (can only see a partial chicken etc). Is there a common practice for how to label ...
1
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0answers
25 views

How to label smart meter/plug data (time series)? [closed]

I would like to label smart plug data recorded in different household appliances so that I can train a machine to recognize for example when the oven is turned on. I am new to this topic and I am ...
1
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0answers
37 views

Transform a multiclass dataset into a multi-label one

I have a dataset of feature/label pairs. My labels are probabilities of each feature vector to belong to the K classes. Here is an example for K = 3: ...
1
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1answer
68 views

Suggestions for labeling data for named entity recognition [closed]

Is it good to label the data based on sub category than parent category? For example: for drugs data ... label the drugs dose as drug_dose or label the drug dose as different type of dose like ...
1
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1answer
31 views

Should we have only binary labels for LSTM?

Is it possible to have non-binary labels for LSTM? I mean an array like [ 100 120 140 20 50 70] Instead of [1 0 1 0 0 1 1] ...
2
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0answers
28 views

Correct approach to usage of class labels in cell imaging data

As part of a group project at university, we are given a series of videos of cell cultures over a 24 hour period. A number of these cells (the "knockout" cells) have had a particular gene removed, ...
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0answers
13 views

Online service for crowdsource text labbling [closed]

I'm trying to make a text classificator for short texts. For that task, I need a labeled samples dataset. I already have samples but most of them are not labeled. I'm tired to label them in excel ...
2
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0answers
184 views

How to handle preprocessing (StandardScaler, LabelEncoder) when using data generator to train?

So, I have a dataset that is too big to load into memory all at once. Therefore I want to use a generator to load batches of data to train on. In this scenario, how do I go about performing scaling ...
0
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1answer
40 views

Difference in labelling and normalizing train/test data

I am working on a dataset comprised of almost 17000 data points. Since it's a financial dataset and the components are many different companies, I need necessarily to split it by date. Therefore, ...
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0answers
70 views

Label construction for predictive maintenance

I am trying to do a binary classification related to predictive maintenance. The question I address is "What is the probability that the asset will fail in the next X units of time?" There is a guide ...
0
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0answers
14 views

Supervised training based Tagging/Labelling for entities

Let’s say I have training data tagged/labelled like this: ...
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3answers
77 views

Is there any tool for data visualization and manipulation?

I have a time series data set that I need to manually label them for supervised learning. What I am doing now is using excel to plot, and when I see the pattern that I want, I hover over the data on ...
1
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0answers
31 views

Merge one label with one information for classification problem or multi-label classification

I want to build a model to support decision making in order to propose or not loan insurance to clients. Because sometimes clients asking loan and loan insurance have less chance to have their loan ...
1
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0answers
21 views

How can I make use of the labels subdivision in a Deep Learning Image classification? [duplicate]

I want to solve an image classification problem. I want to recognize cats and dogs. However my labels are more detailed than ...
5
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1answer
44 views

What is the way to modify a neural network classifier to deal with sample points from outside of the label set?

I am solving an image classification problem. However some photos may not belong to any category, and I'd like not to give any fake information, rather to capture this situation. What are the ways to ...
1
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2answers
258 views

Label Encoder encoding the same class as two integers

First I have defined classes of a label encoder with the keys of a dictionary. Then I have used that label encoder to encode some strings. But for the same string, its giving different integers. Why ...
2
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0answers
67 views

Using ontology to infer labels for process model

I'm trying to implement a specific type of process mining, that has been presented in this thesis [link]. It is based on HMMs and generates a process model in form of a directed graph, where: Nodes ...
5
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4answers
1k views

Interactive labeling/annotating of time series data

I have a data set of time series data. I'm looking for an annotation (or labeling) tool to visualize it and to be able to interactively add labels on it, in order to get annotated data that I can use ...
1
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0answers
87 views

Label Encode with pre defined classes

I have trained a model (Random Forest) and now I want to use it to predict for a certain data on a particular day. I have a categorical column where there are some values(say a,b,c,d,e) over a period. ...
2
votes
1answer
49 views

Given data that is labeled as outliers, how can I classify data as outliers?

I have a dataset that is a mixture of sparse binary features and quantitative features. I only have definite outliers labeled. How should I approach trying to classify unlabeled data? I considered ...
2
votes
2answers
751 views

Does it make sense to label a dataset manually?

I would like to implement a classifier on a dataset which does not have a label. I've written a script which labels each row of the source file by some specific values like "IF H > 45 && T <...
0
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1answer
53 views

What are appropriate labels for age categorical labels?

I am converting some age data to categorical variables. What are some appropriate labels? Some people might take offense to using "Young", "Old" or "Millenial", etc. Is there a "standard" list of ...
3
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1answer
114 views

Object Detection classification

I am currently training a classifier for detecting resistors using TensorFlow Object Detection API. For that, I downloaded resistor images from ImageNet and I am currently labeling those who will be ...
0
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2answers
317 views

Dealing with long sequence labeling

I am dealing with a problem in which I have to label the inputs (in a sequence format) to 5 distinct classes. The input would be like: X = {x_1,_x_2,...,X_500} ...
1
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1answer
210 views

How to weigh imbalanced softlabels?

The target is a probability between N classes, I don't want it to predict the class with the highest probability but the 'actual' probability per class. For example: ...
1
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0answers
262 views

Ground truth/label modification during training (with the data obtained from the

I'm working on an image segmentation algorithm with FCN (Long et al., 2015) as the backbone network. One idea I have is to use the argmax binary mask obtained from the final score layer (250x250x1) ...
2
votes
1answer
85 views

What's the best strategy to train a CNN with images that only have labels for positive characteristics?

I have a large database of images that are only partially labeled for multiple, non-exclusive characteristics or objects present on them. For instance, an underwater scene might feature the labels <...
0
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1answer
106 views

Which process step in KDD or CRISP-DM includes labeling of the data?

KDD and CRISP-DM are both processes to structure your Data Mining procedure. Is data labeling not also a important part of Data Mining? Data labeling is for example in unsupervised learning the ...
1
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0answers
431 views

Are there any tools to make text labeling faster?

I saw the labelme tool, and I was wondering if there is a similar tool for labelling short documents ? preferably in python
1
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1answer
25 views

How to decide which images to label next?

We have a custom dataset of 20 thousand images with two pixel-wise labeled classes. However we have 1 million more raw images, which we would like to label. We want to label the most important new ...
6
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4answers
10k views

Tool to Label Images for Supervised Classification

I have a couple thousand photos of whales taken from drones and I'm planning to build a simple binary classifier to run on these and future images to see if they contain a whale. I'd like to label ...
3
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1answer
2k views

Is it valuable to normalize/rescale labels in neural network regression?

Have there been any papers, or does anyone have any specific experience to know whether normalizing labels in a regression problem is likely to improve the performance of a neural network? I have ...
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0answers
33 views

Establishing the ground truth for difficult cases when it comes to images

I need to create some labels with labelImg for specific objects, but there are two main factors, which make the process of creating bounding boxes a difficult task. ...
3
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1answer
143 views

Probability for label correctness in semi-supervised learning

I am aware of the existence of semi-supervised learning approaches, such as the Ladder Network, where only a subset of the data is labeled. Are there any methods or papers which consider correctness ...
1
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1answer
540 views

Python package for machine-learning aided data labelling

In a lot of cases unlabelled data needs to be transformed to labelled data. The best solution is to use (multiple) human classifiers. However, going to all the data by hand (i.e. in text-mining or ...
0
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1answer
1k views

How to create a training set for sequence labelling

I have a bunch of unlabeled text data that I would like to hand label. Are there any tools out there that you can use to produce your own labels? Ideally it would show a sentence at a time and give me ...