Helping Machines Learn

Meet Our Products

  • Accuro For Text ™
  • Accuro For Images™
  • Accuro For Voice ™

What is Accuro For Text?

Accuro for Text is a data augmentation tool for machine learning engineers and data scientists in the NLP field. Accuro for Text can improve the accuracy of algorithms including Sentiment Analysis, Topic Modeling, Document Summarization, Named Entity Recognition, Machine Translation and Sentence Similarity. Accuro for Text utilizes ten different data augmentation techniques to increase the size of a data set leading to measurable and significant increases in the accuracy of NLP algorithms.

Accuro For Text in action

We compared the accuracy results of several open source algorithms using both standard data sets and data sets that were augmented using Accuro for Text. Select one of the tasks below to see how the accuracy of the algorithm improved when trained using the data augmentation techniques found in Accuro for Text.

  • Sentiment Analysis
  • Topic Modeling
  • Named Entity Recognition
Sentiment Analysis
Topic Modeling
Topic Modeling

What is Accuro For Images?

Imagine if every image in your training set is perfectly centered within the frame, traditional models would be confused when the image is slightly shifted to the right relative to the background. One of the best ways to improve the performance of a Deep Learning model is to add more data to the training set. Aside from gathering more instances from the wild that are representative of the distinction task, we present Accuro for images to enhance the data you already have.

Accuro For Images in action

We compared the performance of several open source image processing algorithms using both standard data sets and data sets that were augmented using Accuro for Images. Select one of the tasks below to see how the performance of the models improved when trained using the data augmentation techniques found in Accuro for Images.

What is Accuro For Voice?

Although tuning model architecture and hyperparameter are successful factor of building a wonderful model, data scientist should also focus on data. Lack of data is one of the common issue in actual data science problem. Accuro for Voice helps to generate synthetic data from existing data set such that generalisation capability of model can be improved.

Accuro For Voice in action

We compared the performance of several open source speech processing algorithms using both standard data sets and data sets that were augmented using Accuro for Voice. Select one of the tasks below to see how the performance of the models improved when trained using the data augmentation techniques found in Accuro for Voice.

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