Abstract: Anomaly detection is valuable for real-world applications, such as industrial quality inspection. However, most approaches focus on detecting local structural anomalies while neglecting ...

Hi, I’m training my Yolov8 (nano) object detection model with 48 training images and 5 validation images. This is my training command, and copy_paste option is used These are my train_batch 0, 1, ...

Abstract: Object detection in infrared images is an important research area in computer vision, and deep-learning-based detection models rely on a large number of labeled samples for model training.

To address the class imbalance (in the number of images/masks) between the Hemorrhagic and Ischemic classes of the original CT image dataset, we applied our offline augmentation tools, ...