ABAKA

Contains rectangle, polygon, circle, point, lines and other types of labels, and supports a variety of annotation scenarios including image object detection, image semantic segmentation, image OCR, human body key points, autopilot lane lines, drivable areas and other annotation scenarios.

Obtain the most accurate annotation results with the simplest interaction.

Based on our AI empowered annotation tool 2.0, our users can enjoy a zero-shot, full-scale smart annotation experience.

Significantly improve audit efficiency in common annotation errors such as missed labels, wrong labels, and labels that do not fit, shortening audit time by 70% and reduces the cost of manual audit.

Private deployment, high data security requirements, fast response time needed.

Using the mature docker private deployment solution, the whole process from deployment to the application was completed within a week.

High accuracy requirements.

Our company builds the fastest data collection solution for business scenarios, using Sota's algorithmic model for text annotation.

Rapid replenishment of multilingual OCR recognition capabilities, tight timelines, and complex data requirements.

Multimodal and fast data annotation services.

Our company has sorted out the specific rules of dataset construction for the business scenarios, quickly found the matching sites for real-life acquisition and shooting, and used our intelligent labeling tools to carry out continuous frame multimodal labeling.

Sample diversity.

Our company quickly finds a match among several voice actors, and then uses professional equipment to capture high-quality audio capture, so as to ensure quality and quantity of high-quality sound delivery.

Data collection to cleansing requires high articulation quality.