Our image data labeling experts support a wide range of computer vision applications. Combining a leading platform and tech stack with domain expertise to help power refined AI models.
Annotate traffic signs, pedestrians, lanes, and other objects for self-driving car systems.
Label X-ray, MRI, and microscopy images to detect and diagnose diseases.
Tag images to train robots on visual tasks like recognizing objects and navigating environments.
Annotate security footage to build AI that automatically detects threats and anomalies.
Classify aerial and satellite imagery for applications like mapping, agriculture monitoring, and disaster response.
Tag product images to enable visual search, recommendations, and quality control.
We can customize labeling models to handle your specific data types, formats, and annotation requirements
Polygon
Cuboid
Image Segmentation
Image Classification
2-D panoptic segmentation
Keypoint Pose Detection
Point Cloud Annotation
3-D Object Recognition
Sapien delivers an integrated image annotation approach. Our internal team of dedicated labelers provide the human-in-the-loop feedback combined with an industry-leading annotation platform to ensure the highest levels of accuracy.
We facilitate the secure transfer and storage of your confidential image data and can quickly scale your data labeling team based on your project needs.
We'll allocate the right team tailored to your vertical and use case based upon their area of expertise. One team will work the entirety of your project to ensure continuity.
We'll provide regular updates and operational transparency. Our team performs automated check and statistical sampling to ensure quality before completing the full training dataset.
Our internal labeling team designs tailored workflows for your image dataset and desired model objectives to deliver fast image annotation while ensuring the highest levels of accuracy
The project entailed annotating over 6,000 wildlife images to shed light on Scandinavian wildlife behavioral patterns and biodiversity. The objective—isolate and label the species, gender, and other characteristics of animals in each image, reducing identification ambiguity.
See how Sapien’s data labeling team can deliver high-quality image annotation so that you can minimize trial-and-error and accelerate model deployment.