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,…
Go to Settings | Labeling Interface. Here, you can select a template from the available templates in Label Studio as shown in the project. Select Image Classification. Figure 12.32 –…
Let us label the image data using Label Studio. Once you have installed the Label Studio tool using the pip command as given in the Technical requirements section, start Label…
To integrate labeled data from Azure Machine Learning data labeling into machine learning pipelines, you can follow these general steps: Here is a simplified example using the Azure Machine Learning…
In this section, let’s see how to label audio data using Azure Machine Learning. In Azure Machine Learning, we can annotate pieces of audio using text labels. We are going…
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,…
Zavia Dunlap
