Data Labeler specializes in creating quality

We have a team of more than 1000 (and growing) full time Data Labelers. Our teams are working around

The Data Labeler Blog

Your Expert Guide to Community Building.

Annotation

Keypoint Annotation: The Game-Changer in Facial Points & Body Pose Research
admin
March 19, 2024

Keypoint Annotation: The Game-Changer in Facial Points & Body Pose Research

Imagine a world where machines have human-level perception, interpretation, and understanding of images. Gartner projects that by 2025, 75% of enterprise-generated data will be created and processed outside conventional data centers, with a significant portion of that data consisting of photos and videos. Computer Vision Annotation, an AI technique that lets computers recognize and categorize […]

Body Pose Detection via Key Points Annotation has been proven beneficial to business sectors
admin
January 23, 2024

Body Pose Detection via Key Points Annotation has been proven beneficial to business sectors

What possibly could business entities might achieve with the key points annotation approach?  They can identify particular characteristics or landmarks on objects in pictures or movies.  It makes difficult tasks like pose estimation, gesture identification, facial expression recognition, and 3D reconstruction possible, in addition to high-precision object detection and tracking. It offers a thorough comprehension […]

How Does Data Annotation Assure Safety in Autonomous Vehicles?
admin
January 02, 2024

How Does Data Annotation Assure Safety in Autonomous Vehicles?

To enable the car to make safe judgments & navigate, its machine-learning algorithms need to be trained on well-annotated data.

How to Ensure Project Success with best Annotation & Labeling Metrics to Track?
admin
September 26, 2023

How to Ensure Project Success with best Annotation & Labeling Metrics to Track?

It all boils down to performance and quality metrics when determining what makes a machine-learning model effective. To assess if a model will perform as planned for its application and particular industry use, AI practitioners need to consider these evaluation aspects. Essentially, performance evaluation and monitoring during development result ineffective products. When a model is […]

1 2 3 8