OAWD数据集
收藏arXiv2021-12-04 更新2024-06-21 收录
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资源简介：
OAWD数据集是由国家科学技术大学创建的，包含6400张武器图像，旨在解决视觉数据中武器检测的难题。该数据集通过网络收集并手动标注，提供了方向感知边界框作为真实标签，适用于深度学习模型训练。数据集涵盖了多种武器类型和场景，支持多格式标注，适用于提高武器检测算法的准确性和鲁棒性。
The OAWD dataset, created by the National University of Science and Technology, consists of 6400 weapon images and is designed to address the challenges of weapon detection in visual data. Collected via the internet and manually annotated, it provides orientation-aware bounding boxes as ground truth, making it suitable for training deep learning models. Covering a variety of weapon types and scenarios, the dataset supports multi-format annotations and is intended to improve the accuracy and robustness of weapon detection algorithms.
提供机构：
国家科学技术大学(NUST)
创建时间：
2021-12-04
