FoodLogoDet-1500
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/hq03/foodlogodet-1500-dataset
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资源简介：
该数据集专注于食品包装中的标志检测，包含了为本研究聚合的众多类别。在处理该数据集时，我们采用了两阶段的精细化调整过程，首先使用YOLOv8进行了100个周期的训练，随后在FoodLogoDet-1500和LogoDet-3K数据集上各额外训练了50个周期。该数据集的任务是标志检测。
This dataset focuses on logo detection in food packaging and includes a variety of categories aggregated for this research. During the processing of this dataset, we adopted a two-stage fine-tuning workflow: we first trained using YOLOv8 for 100 epochs, then conducted an additional 50 epochs of training respectively on the FoodLogoDet-1500 and LogoDet-3K datasets. The core task of this dataset is logo detection.
提供机构：
Curated for this research
