Overlapped 100 5

Overlapped 100-5 is a dataset designed for the field of computer vision, aiming to enhance the model's object detection and recognition capabilities in complex scenarios by providing a large number of overlapping image samples. This dataset focuses on addressing the annotation challenges in situations where multiple objects are densely arranged, improving the robustness and generalization performance of the models. It is suitable for training and evaluating deep learning algorithms.