Part 3/13:
Labeled datasets are a significant bottleneck in AI development, especially in applications demanding rapid adaptation across environments. DinoV3's self-supervised approach allows it to learn from the oceans of unlabeled images already out there—on drones, satellites, street cameras, or smartphones—without manual tagging. Consequently, it can adapt quickly and efficiently to new tasks, industries, and environments.