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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1answer
13 views

DateTime labels in a Seaborn Heatmap

I am plotting a time evolution using a heatmap in the following way: fig, ax = plt.subplots(figsize=(10,10)) sns.heatmap(active, ax = ax) Where active is a ...
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0answers
11 views

Combining “expert-assigned labels” and “real-observed labels”?

Combining "expert-assigned labels" and "real-observed labels"? That is, if I have a data set, where it's possible to have labels that are "true observations" and also ...
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1answer
12 views

Classifying visual environment in Tensorflow CNN (video analytics)

I am given a selection of videos of users exploring simulated 3D enviroments (kind of looks like the Sims video game) and I am tasked with being able to classify each room using a tensorflow framework....
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3answers
30 views

How to detect outliers to lable my unsupervised data?

I have unsupervised sensor data and i want to lable each row of data as anomaly or normal. Here K-mean clustering will work?
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0answers
8 views

Transformer removes heading labels [closed]

Question: Is there a way to retain/include headers once they go through a make_column_transformer? My dataframe has the usual columns and rows, but a header is included. Example: When I take the data ...
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0answers
23 views

Label description for scikit-learn Diabetes dataset

I am studying how to build a regression model using the Diabetes dataset from scikit-learn and I cannot find a good interpretation for the target value, meaning that I do not know what value would be ...
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0answers
8 views

Bag Level labels from instance labels

I have a 4 class classification problem using speech data. The speech signals are of variable length ranging from 1 sec to 8 sec. I am making chunks of 3 secs by chopping the longer utterances and ...
1
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1answer
21 views

One hot vector output in classification task

I'm working on CNN model and I used one hot vector type of labels. The number of classes is 3: [1,0,0], [0,1,0], [0,0,1]. net(x) I'm getting such an output: [0....
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0answers
8 views

How to correctly train CNN with patches taken by labeled images, if the source image contains both positive and negative samples?

I have patches (tiles) taken from very large histopathological images. These images are labeled as healthy (negative) or tumor (positive). If the image-level label is negative, then 100% of the source ...
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0answers
19 views

Does flipping binary class labels impact performance metrics?

I am working on a classification problem with 0 and 1 class labels. I am wondering if I flip the class labels (i.e if I label all the formerly 0 classes as 1 and all the formerly 1 classes as 0) how ...
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0answers
18 views

Relation between number of landmarks and learning accuracy

Is there any relation between number of landmarks selected on the subject and the accuracy of learning these landmarks? For example for detecting nose tip and eye corners, can we say that adding some ...
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0answers
58 views

What is the difference between a bounding box and ROI (Region of Interest)

I was reading about the Fast RCNN for object detection. From what I understand, it uses pre-computed ROI's (using selective search) and uses these to predict the bounding box offsets and uses smooth ...
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1answer
35 views

Which samples to inspect in a noisy labeled classification task?

I have a dataset with noisy labels on which I train a binary classifier. Inspecting the loss I see some samples were misclassified with high confidence and others were classified with indecision ...
0
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1answer
56 views

Changing order of LabelEncoder() result

Assume I have a multi-class classification task. The labels are: Class 1 Class 2 Class 3 After LabelEncoder(), the labels are transformed into 0-1-2. My questions are: Do the labels have to start ...
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0answers
27 views

How do I identify the postulated 600 object classes in OpenImages v. 6?

I have downloaded the OpenImages version 6 image sets (train, validation, test) from CVD Foundation as per instructions from the OpenImages homepage. The OpenImages homepage states that there are 600 ...
0
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1answer
18 views

(Labeled, if possible) time-series datasets for anomaly detection [closed]

I would like to create a big list of available time-series datasets for anomaly detection. I'm especially interested in the following: The time-series data should be segmented into cycles Ideally, ...
2
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1answer
33 views

How would you build a big production ready image training dataset from scratch?

How would you most likely create a large production ready image training dataset from scratch including annotations for a image classification task? We will take a large amount of images (~1 million) ...
3
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2answers
114 views

Is there a clustering algorithm which accepts some clusters as input and outputs some more clusters?

Heres the task: I have data I don't know much about. The final task is to build a classifier to classify the samples into a few categories. Some of the categories are pretty clear, we can easily use ...
0
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1answer
505 views

MultiLabelBinarizer() with inverse_transform()

I have multilabel labels. Elements in a label mean voting. Here is how labels look: ...
0
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1answer
30 views

Is there a deep learning method for 3D labels?

As the question says, I want to feed labels into a neural net that are three dimensional. Let's say that I have 3 possible labels and each one of my data points corresponds to a percentage of those ...
2
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3answers
167 views

Should you turn off label smoothing when validating?

As the subject says. On one hand, the answer should be yes because label smoothing is a regularization feature and how can you know if it improves performance without turning it off? On the other hand,...
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1answer
83 views

How to train a machine learning algorithm with multiple labels

I have the following challenge and I very much hope that there is a solution to it. I also suspect that there is a simple approach to it. I just don't see it at the moment. Any help or advice is ...
1
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1answer
256 views

sklearn serialize label encoder for multiple categorical columns

I have a model with several categorical features that need to be converted to numeric format. I am using a combination of LabelEncoder and OneHotEncoder to achieve this. Once in production, I need to ...
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0answers
21 views

Excluding “mislabeled” examples in training set based on out of time data

This question is specifically regarding imperfect labels. I'd like to understand the theoretical and practical implications of removing examples from the training set based on information obtained ...
0
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1answer
26 views

Get Label Statistics of Image Dataset

I have a labeled image dataset, where the images are in subfolders and there is one Pascal XML per image with the labels. I would like to compute stats like: how many images have exactly two labels? ...
1
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1answer
134 views

How to fix spelling mistakes in data?

I have an input data file which contains list of drug names. I have more than 1000 unique drug names. However, the drug names has spelling mistakes and space character issues. For ex: we have ...
1
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1answer
87 views

LSTM Time-series classification - derived feature

I have a time-series dataset and I want to derive a new feature based on a date column which I believe might improve my predictive model. The feature is if it's weekday or weekend. I am not sure how ...
1
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1answer
212 views

How to trust the labels generated using ML models?

I have a dataset of patient records. But I do not know whether he is +ve for a cancer or not. So, I do not have the labels in my dataset. Now I can run a machine learning models like clustering to ...
0
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1answer
36 views

why we need data labelling tool for computer vision?

Before start training images with tensorflow object detection api we need to use labelling tool to annotate our images and converted to XML format. What happens when we convert our annoted image to ...
1
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1answer
26 views

LabelEncoder with a Multi-Layer Perceptron?

So we're working on a machine learning project at work and it's the first time I'm working with an actual team on this. I got pretty good results with a model that uses the following SKLearn pipeline: ...
3
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1answer
38 views

When unsupervised learning is more beneficial in comparison with supervised learning even the labelings are existed?

When unsupervised learning is more beneficial in comparison with supervised learning even the labeling are existed? If there is no labeling the unsupervised learning is better than supervised learning ...
6
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1answer
293 views

Can I use confident predictions to correct incorrect labels?

From visual inspection of a sub-portion of my data, I estimate that around 5-6% of the labels are incorrect. My classifier still performs well and when I take prediction probabilities that are above ...
2
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1answer
298 views

How is a coincidence matrix constructed for computing Krippendorff's alpha?

I am looking at two documents to help me learn about constructing coincidence matrices in order to gain a better understanding of Krippendorff's alpha. I am using these two: https://repository.upenn....
9
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3answers
208 views

Is (nearly) all data separable?

Suppose I have some data set with two classes. I could draw a decision boundary around each data point belonging to one of these classes, and hence, separate the data, like so: Where the red lines ...
3
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1answer
326 views

Discriminator of a Conditional GAN with continuous labels

OK, let's say we have well-labeled images with non-discrete labels such as brightness or size or something and we want to generate images based on it. If it were done with a discrete label it could ...
1
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1answer
18 views

Tools suitable for semi-automatic video labeling?

So far I have been using labelme to label objects in videos I use for training, but it is quite time consuming. Are there good tools to help with that? I was thinking about a tool where I label ...
2
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1answer
193 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
22 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 ...
2
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0answers
430 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
78 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 ...
5
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2answers
3k 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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2answers
1k 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 ...
1
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1answer
25 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 ...
0
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1answer
9 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
55 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 ...
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2answers
325 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 ...
1
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1answer
1k 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
1k 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?
2
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1answer
2k 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
27 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 ...