论文标题
草莓在模拟和真实数据上使用混合培训进行检测
Strawberry Detection using Mixed Training on Simulated and Real Data
论文作者
论文摘要
本文展示了模拟图像如何可用于农业领域的对象检测任务，在那里，标记的数据可能会稀缺且昂贵。我们考虑在混合数据集上使用真实和模拟数据进行培训，以在真实图像中进行草莓检测。我们的结果表明，使用模拟数据集增强的实际数据集会导致精度略高。
This paper demonstrates how simulated images can be useful for object detection tasks in the agricultural sector, where labeled data can be scarce and costly to collect. We consider training on mixed datasets with real and simulated data for strawberry detection in real images. Our results show that using the real dataset augmented by the simulated dataset resulted in slightly higher accuracy.
