The quality of your Training Data is defined by the quality of annotations and labels. Your annotators can label your training data with the tools you (or your data labeling software vendor) provide them. The right instance type will help you label easily and...
Image annotation is the process of annotating or labeling images in a given dataset. These data sets are used to train an ML model. By annotating images, you add labels to the features of the images that you expect your ML algorithm to recognize and get trained in recognizing these features in the future. Annotation is part of supervised learning.
Data Labeling produces structured data; ready to be consumed by a machine learning model (Data Science team). This is required because raw media is considered to be unstructured, meaning not readable by machine learning. This means Data Labeling is required for most modern machine learning use cases including computer vision, natural language processing, and speech recognition.
The quality of your annotations and training data depends on how well your annotation workforce executes the tasks. Guides are readable instructions that help improve the quality of annotations created by your labelers. Diffgram allows you to create detailed guides...
You can better leverage Diffgram when your team perfectly knows how to label data for machine learning efforts. Diffgram's data labeling tool allows you to effectively manage your data labeling tasks without having to leave the platform. No more isolated tools. all in...
To annotate your text training data on Diffgram, you first need to create a project. Here is a step-by-step guide to help you get started with your training data labeling on Diffgram. The process is standard and the same across all different data types viz Image,...
The standard was to manually export your data, then write a script to feed the data to your models for training. Today we are changing that with the all-new: Diffgram Streaming — Direct to Memory for Pytorch and Tensorflow This is huge! But before we get...
Table of Contents What is Unstructured Data?How do I turn Unstructured Data into Structured Data?What is Data Centric AI?Why is Unstructured Data Important?What are the Differences between Training Data Tools, Training Data Platforms, Data Labeling, and Annotation?...
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