2026-10-12T18:51:31Z https://www.scidb.cn/oai

10.57760/sciencedb.space.03393 2025-12-08T16:45:24Z

2025-12-08 Dataset and model for the paper "Tackling Small Lunar Impact Crater Classification: A Novel Augmented Dataset and Enhanced Deep Learning Framework" doi:10.57760/sciencedb.space.03393 en This study proposes a classification framework based on an optimised YOLOv7 model, specifically designed for multi-type small crater identification. We developed the Small Crater Augmented Dataset (SCAD), employing advanced data augmentation strategies to address class imbalance, notably enhancing representation of rare morphologies (flat-bottomed craters, central mounds, and concentric craters). The model integrates focus loss to mitigate class imbalance and adopts efficient intersection-over-union ratio optimisation to enhance boundary detection accuracy. Small lunar impact craters classification; Sample imbalance; Augmented dataset; Deep learning Junjiao Li Jiao Wang Junhong Jia Weiming Cheng Dijun Guo PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank