A standard method to verify an object detection dataset is to visualize a minibatch of images alongside their labeled ground-truth bounding boxes. For example, in the banana detection dataset, such a demonstration reveals that the target objects (bananas) vary significantly in rotation, size, and spatial position across different images. While this serves as a straightforward foundational example, real-world object detection datasets typically feature much more complex scenes and overlapping objects.