Semi-automated labeling involves a combination of automated tools and human intervention to label datasets. Automated methods assist human annotators in the labeling process but may not fully replace human input.…
Here is a table depicting the comparison of the tools on various features: Tool Pros Cons Cost Labeling Features Support Scalability Azure Machine Learning labeling Rapid data preparation for machine…
CVAT is a free, open source tool that is widely used in various industries for annotating images to facilitate the training of machine learning models. This tool is designed to…
In this section, let’s see how to label video data. All the steps are similar to the image data labeling steps, except the template used for video data labeling. First,…
On the Azure Machine Learning page, the steps are similar to when we created a labeling project for image data labeling in the previous section but with a few exceptions,…
Select the person tag and then create a bounding box for the person in the image: Figure 12.15 – Labeling the person Labeling the bike Similarly, select the Bike tag,…
Generate a data asset using an Azure datastore. While local file uploads are common, Azure Storage Explorer offers a more efficient method for transferring large data assets. It is recommended…
We want to create a data labeling project so that we can upload images and label them or assign them to labelers and manage the workflow effectively. In your Azure…
In the dynamic landscape of machine learning and artificial intelligence, effective data annotation plays a pivotal role in enhancing model performance and fostering accurate predictions. As we delve into the…
Let’s create a speech service using the Azure portal, as follows. Go to the Azure portal at https://portal.azure.com, search for speech service, and then create a new service. As shown…
Zavia Dunlap