标题： 十月节食品数据集 显示英文标题

标题： Oktoberfest Food Dataset

摘要： 我们发布了一个针对图像物体检测的真实、多样且具有挑战性的数据集。 该数据是在德国的一个啤酒帐篷中录制的，包含15类不同的食品和饮料项目。 我们通过手工为收银台上方摄像机拍摄的1,110张图像创建了超过2,500个物体标注。 此外，我们还提供了剩余的600GB（未标注）数据，其中包括多日的录像片段。 另外，我们提供训练好的模型作为基准。 可能的应用包括自动结账系统，这可以显著加快结账过程。 显示英文摘要

摘要： We release a realistic, diverse, and challenging dataset for object detection on images. The data was recorded at a beer tent in Germany and consists of 15 different categories of food and drink items. We created more than 2,500 object annotations by hand for 1,110 images captured by a video camera above the checkout. We further make available the remaining 600GB of (unlabeled) data containing days of footage. Additionally, we provide our trained models as a benchmark. Possible applications include automated checkout systems which could significantly speed up the process.