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12 votes
Accepted

Interactive labeling/annotating of time series data

Update: we have updated TRAINSET to include the ability to upload multiple series as well as apply multiple labels! See demo in GIF below. We had this same problem again and again at Geocene, so we ...
daterdots's user avatar
  • 136
12 votes
Accepted

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

Yes, you should do this. Given the initialization schemes and normalized inputs, the expected values for the outputs are 0. This means that you will not be too far off from the start, which helps ...
Jan van der Vegt's user avatar
12 votes
Accepted

Mass convert categorical columns in Pandas (not one-hot encoding)

If your categorical columns are currently character/object you can use something like this to do each one: ...
george_w_kush's user avatar
8 votes
Accepted

Tool for labeling audio

Audacity is a free and open source audio editing software, available for all common desktop operating systems. It can be used to annotate audio, by using Label Tracks. You can have a label at a ...
Jon Nordby's user avatar
  • 1,482
6 votes

Mass convert categorical columns in Pandas (not one-hot encoding)

First, let's create a mcve to play with: ...
Julien Marrec's user avatar
6 votes

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

Label flipping is a training technique where one selectively manipulates the labels in order to make the model more robust against label noise and associated attacks - the specifics depend a lot on ...
Vlad_Z's user avatar
  • 620
6 votes

Should you turn off label smoothing when validating?

The way most people gain an initial understanding of label smoothing (and what most common explanations have to say on the subject) plays a great role in how one would approach this question. At first ...
Vlad_Z's user avatar
  • 620
5 votes

Tool to Label Images for Supervised Classification

If you are specifically looking to outline the whales, seems like FastAnnotationTool could work: https://github.com/christopher5106/FastAnnotationTool Other options here: https://en.wikipedia.org/...
Hobbes's user avatar
  • 1,439
4 votes

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

With t-SNE none of the input parameters are weighted more than any other parameter so the differences you want to see like students forming islands by grade level will not happen because there is so ...
Cara Wogsland's user avatar
4 votes
Accepted

Python package for machine-learning aided data labelling

It sounds like you are looking for active learning. In active learning, the classifier learns which samples would be most useful to have labelled by a human. There are many techniques for active ...
D.W.'s user avatar
  • 3,341
4 votes

Interactive labeling/annotating of time series data

A little bit too late to the party but it's better than never. We've released a major version update to our time-series data labeling tool called Label Studio. Now it supports a variable number of ...
Michael Malyuk's user avatar
4 votes

Interactive labeling/annotating of time series data

I am currently developing a set of tools to annotate and detect patterns in time series data: https://github.com/avenix/WDK check the AnnotationApp in 1-Annotation
Juan Haladjian's user avatar
4 votes

Is (nearly) all data separable?

TL;DR Yes, with overfitting all data becomes (non-linearly) separable (as long as the points don't precisely overlap). Explanation The problem with your argument is that you are using circles on a ...
Bruno Lubascher's user avatar
4 votes
Accepted

How to trust the labels generated using ML models?

So when we generate labels via machine learning models like clustering above, is it a recommended approach? Only if you can really make highly distinct 2 clusters/groups. This will be highy unlikely, ...
Noah Weber's user avatar
  • 5,669
3 votes

Interactive labeling/annotating of time series data

I also need such a tool to annotate data but did not found any suitable tool. Therefore, i wrote a small python app by myself, just abused matplotlib for this task. I used matplotlib.use('TkAgg') and ...
dataddicted's user avatar
3 votes

Tool to Label Images for Supervised Classification

Here's a great simple tool. It's fully in Python so you can play around with it to fit your needs more properly.
Dan Erez's user avatar
  • 159
3 votes
Accepted

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

This question is a very common question. How to handle samples belong to categories that are not included in the data set. There is no optimal way to handle this: Creating a separate class is ...
Bashar Haddad's user avatar
3 votes
Accepted

How to label overlapping objects for deep learning model training

There is no common practice in labeling the bounding boxes. It is always problem dependent. For example, if you want to count the chickens then you should also label the whole chicken as one instance ...
MachineLearner's user avatar
3 votes

Tool for labeling audio

Try this one: https://labelstud.io, it is a free opensource tool via web browser with a good documentation and a lot of examples. Easy to start. Or if you need a teamwork you can use the labeling ...
Max Tkachenko's user avatar
3 votes

Tool for labeling audio

You could try the ones below: audio-annotator A JavaScript interface for annotating and labeling audio files. audio-labeler An in-browser app for labeling audio clips at random, using Docker and ...
Vinita Silaparasetty's user avatar
3 votes

Is (nearly) all data separable?

Having consulted my professor, the person that wrote the question from the exercise book featured in the OP, here is their perspective: Groups of data points can always be separated. The exception is ...
Data's user avatar
  • 467
2 votes

Classifying multilabel images with TensorFlow

I suggest you try building multiple networks: one network for building type (outputs "house", "apartment", or "condominum"), another network for build year, another for garage (yes vs no), and so on. ...
D.W.'s user avatar
  • 3,341
2 votes

Labeling Dataset Algorithmically

Are there any statistical/otherwise tests that I can run to understand the quality of the labeling I get from my code. Yes. You can treat your automated labelling as a model in its own right (it ...
Neil Slater's user avatar
  • 28.8k
2 votes

Mass convert categorical columns in Pandas (not one-hot encoding)

In order to convert types of multiple columns at once I would use something like this : ...
Ozkan Serttas's user avatar
2 votes
Accepted

How to create a training set for sequence labelling

There are several tools for this you could check the Stanford Simple Annotation Tool, also Brat has online demos. For a comprehensive list you could check this question on Quora
Dani Mesejo's user avatar
  • 2,226
2 votes

Dealing with long sequence labeling

First of all, don't use classification accuracy as a metric. Use precision, recall or F-score. They are best suited for multiclass unbalanced datasets. Secondly, if you want to enrich your dataset ...
pcko1's user avatar
  • 3,930
2 votes
Accepted

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

I think your best bet would be transfer learning. Start with a model that has already been trained with a wider dataset such as the ones presented here. From there you can train the model with your ...
JahKnows's user avatar
  • 8,856
2 votes
Accepted

How to decide which images to label next?

This type of problem is considered to be part of 'active learning'. There is a lot of research being done on this topic at the moment, but some first approaches are relatively easy, depending on the ...
Jan van der Vegt's user avatar
2 votes

Object Detection classification

In general, you want to show your model all types of "resistors" it would see in the real world. Is it feasible for you to manually go through your dataset and label each of these images as resistor ...
Andy M's user avatar
  • 400
2 votes

Tool to Label Images for Supervised Classification

Give a shot to DataTurks It gives you simply slick UI + web based collaborative framework to work with your colleagues/mates to build the dataset. Image from a sample Project which classifies ...
NooB8374's user avatar

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