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Questions tagged [labels]

Use for questions about the labels associated with the ground-truth of a dataset. Typically these data points have been labelled by a domain expert and can therefore be assumed to be true, against which we can compare the predictions of our algorithms.

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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 ...
fdas's user avatar
  • 1
4 votes
1 answer
1k 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 ...
Bertrand Delvaux's user avatar
1 vote
1 answer
268 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 ...
dog fish's user avatar
  • 171
6 votes
3 answers
5k 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 ...
Alexey Abramov's user avatar
3 votes
2 answers
2k views

How label smoothing and label flipping increases the performance of a machine learning model

I have seen posts and research papers mentioning these techniques for improving the performance of a machine learning model. These techniques certainly make some sense in the case when we are not ...
Outcast's user avatar
  • 1,057
1 vote
1 answer
42 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 ...
Marie M.'s user avatar
0 votes
1 answer
22 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 ...
Florian Laborde's user avatar
1 vote
0 answers
123 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 ...
M. Allspach's user avatar
-2 votes
2 answers
511 views

How to get labels in face recognition in Keras

I am building a facial recognition system. The model is complete but I am having minor issues during prediction. I used the Image data generator to load images from train and test folders and trained ...
Harsh Ris's user avatar
1 vote
1 answer
3k 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 (...
ahron's user avatar
  • 113
1 vote
1 answer
2k 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?
GiuliaC.'s user avatar
3 votes
1 answer
3k 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 ...
Sjoseph's user avatar
  • 163
1 vote
0 answers
31 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 ...
xoani's user avatar
  • 111
1 vote
0 answers
250 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: ...
user3091275's user avatar
1 vote
1 answer
82 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 ...
Sharmili Nag's user avatar
1 vote
1 answer
346 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] ...
user3486308's user avatar
  • 1,290
2 votes
1 answer
37 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, ...
OParry's user avatar
  • 121
1 vote
0 answers
24 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 ...
rnd_d's user avatar
  • 111
8 votes
1 answer
2k 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 ...
Jim's user avatar
  • 181
0 votes
1 answer
251 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, ...
Alexbrini's user avatar
1 vote
0 answers
233 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 ...
Vadim's user avatar
  • 11
3 votes
3 answers
202 views

Is there any tool for data visualization and manipulation?

I have a time series data set that I need to manually label for supervised learning. What I am doing now is using excel to the plot, and when I see the pattern that I want, I hover over the data on ...
Victor's user avatar
  • 141
1 vote
1 answer
64 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 ...
Minila S's user avatar
1 vote
0 answers
48 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 ...
kmichael08's user avatar
5 votes
1 answer
61 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 ...
kmichael08's user avatar
1 vote
2 answers
934 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 ...
ravishankar's user avatar
2 votes
0 answers
102 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 ...
wodzu's user avatar
  • 121
18 votes
7 answers
15k 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 ...
mibrl12's user avatar
  • 283
3 votes
1 answer
327 views

Label Encode with pre defined classes [closed]

I have trained a model (Random Forest) and now I would like to use it to predict 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....
ravishankar's user avatar
2 votes
1 answer
117 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 ...
Halbort's user avatar
  • 123
2 votes
2 answers
2k 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 <...
Stev's user avatar
  • 21
3 votes
1 answer
248 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 ...
D. LaRocque's user avatar
0 votes
2 answers
733 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} ...
MesiA's user avatar
  • 1
2 votes
1 answer
382 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: ...
Kay Lamerigts's user avatar
1 vote
1 answer
680 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) ...
Alex's user avatar
  • 767
3 votes
1 answer
468 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 <...
Fernando D'Andrea's user avatar
0 votes
1 answer
284 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 ...
Mimi Müller's user avatar
1 vote
3 answers
528 views

Are there any tools to make text labeling faster?

I saw the labelme tool and was wondering if there is a similar tool for labelling short documents? Preferably in Python.
Alejandro Rodriguez's user avatar
1 vote
1 answer
82 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 ...
Laurenz's user avatar
  • 113
6 votes
4 answers
13k 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 ...
clifgray's user avatar
  • 179
9 votes
1 answer
9k 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 ...
davidparks21's user avatar
1 vote
0 answers
34 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. ...
thanasissdr's user avatar
3 votes
1 answer
187 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 ...
AlexGuevara's user avatar
2 votes
1 answer
697 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 ...
Pieter's user avatar
  • 961
1 vote
2 answers
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 ...
Luke's user avatar
  • 58
4 votes
1 answer
1k views

Given a t-SNE plot, how can I infer the "most correct" labels? How does one understand its structure?

Let's say I begin with an exceptionally large dataframe (e.g. imported/munged from tsv files). Several of these columns are categorical labels. (As a more concrete example, let's imagine a group of ...
ShanZhengYang's user avatar
3 votes
0 answers
5k views

Adding multilabel classifier to TensorFlow example

I am starting with the generic TensorFlow example. To classify my data I need to use multiple labels (ideally multiple softmax classifiers) on the final layer, ...
Peter Gerhat's user avatar
0 votes
1 answer
189 views

Failure tolerant factor coding

There are a lot of ml-algorithms which cannot directly deal with categorical variables. A very common solution is to apply binary (dummy-) coding to still properly handle the categorical nature of ...
Georg Heiler's user avatar
2 votes
1 answer
3k views

Classifying multilabel images with TensorFlow

The dataset that I am categorizing with TensorFlow ML library contains multiple labels per image. The contents are real estate images photographed from outside that are analyzed for various image ...
Peter Gerhat's user avatar
1 vote
1 answer
1k views

Labeling Dataset Algorithmically

I am working in emotion analysis of tweets. I collected close to .6 million tweets. I dont want to label them manually, instead i coded a bunch of complex rules to arrive at their label. Before I ...
Anuj Gupta's user avatar