Simulated dataset for P-body detection model training

A simulated dataset tailored for training the P-body detection model in article "PB-scope: Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds."The dataset is meticulously structured in YOLO format, a standardized annotation framework widely adopted for object detection tasks, ensuring compatibility with cutting-edge deep learning pipelines. The pre-trained model weights for P-body detection in the article, are stored in the file detect_weight.pt.