Training sampleDrivable Area Segmentation
Lane and road-surface masks
Sample work
Explore demo annotation examples that show the kinds of tasks our team trains on and supports across computer vision and dataset QA workflows.
Training sampleLane and road-surface masks
Demo datasetParked vehicle and corridor detection
Training sampleFruit maturity segmentation
QA sampleRipe vs. unripe boundary review
Demo datasetSafety gear detection and class labels
Training sampleMulti-object detection across traffic scenes
Sample tasks are used to train annotators on consistency, label quality, and guideline discipline.
Review workflows help identify loose boxes, wrong labels, missed objects, and inconsistent annotations.
These samples demonstrate the type of output clients can review before scaling a larger pilot.
Share a small sample dataset and we can recommend an annotation workflow, review process, and export format for your project.