keylabs.ai

What It Is

Keylabs is a data annotation platform for AI/machine learning data preparation, with a strong focus on computer vision labeling scenarios such as images, videos, and 3D point clouds/LiDAR. The site emphasizes that it is built by annotation specialists, with the goal of giving project teams greater control, visibility, and labeling efficiency.

Core Capabilities

The platform is centered on ML-assisted annotation: algorithms can generate initial labels, and it supports integration with customers’ own machine learning models. The main content also explicitly mentions the use of SAM 2 for automatic object recognition, segmentation, and cross-frame tracking, making it suitable for dynamic objects, occlusion, or overlapping scenes in video. In terms of traditional annotation tools, Keylabs provides features such as Magic Wand, object interpolation, attribute interpolation, object linking, multi-level annotation, hierarchical attributes, and A-Z hierarchy ordering, which can improve consistency when labeling consecutive video frames. For more complex data, it supports 3D point cloud annotation, which is especially valuable for autonomous driving and sensor data processing.

Pricing and Trial

The website offers a Free Trial and states that small flexible plans and volume-based discounts are available. Pricing is provided after a demo call to assess project requirements. The advantage is that it may fit projects of different sizes, but the downside is the lack of public pricing, trial quota, duration, and feature-limit information, meaning there is some communication overhead before procurement.

Pros and Cons

The strengths are its broad feature coverage, especially for complex annotation needs such as video, object tracking, and point clouds. It also includes workflow, task assignment, and data management capabilities, making it suitable for multi-person collaborative projects. On the data security side, it discloses compliance information including GDPR, ISO 27001:2014, and ISO 9001:2015. The limitations are that the stated 99.9% accuracy depends on project requirements and lacks evaluation conditions; details around API, SDK, data import/export, and private deployment are also not expanded on in the main text.

Best Fit and Access from China

Keylabs is better suited for teams that need high-quality visual datasets, such as those in autonomous driving, security, drones, medical imaging, robotics manufacturing, agriculture, and logistics. Access from mainland China, payment methods, and Chinese-language support are not specified, so china_access can only be considered unknown. If you need open-source or easier-to-deploy local alternatives, CVAT and Label Studio are worth evaluating; for commercial annotation platforms, you can also compare Labelbox, V7, Supervisely, and similar options.