High-Quality Image Annotation for Human's Underwater Movement
We provided high-quality image annotation for an under water human movement simulation AI project. The task involved collecting 22,000 underwater photos of swiming and skin-diving by human, labeling humans, body parts, action regconition, bounding boxes and polygon segmentation. Our team processed over 22,000 images, ensuring 99% accuracy through multiple quality control checks. We followed strict data security protocols, using secured cloud storage and NDA agreements to protect client data. The project significantly improved the AI model’s ability to simulate human movement in the water.