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【AI实战营第二期】第三次作业提交08班 #130
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We recommend using English or English & Chinese for issues so that we could have broader discussion. |
where is the metric? |
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作业:基于 RTMDet 的气球检测
背景:熟悉目标检测和 MMDetection 常用自定义流程。
任务:
基于提供的 notebook,将 cat 数据集换成气球数据集
按照视频中 notebook 步骤,可视化数据集和标签
使用MMDetection算法库,训练 RTMDet 气球目标检测算法,可以适当调参,提交测试集评估指标
用网上下载的任意包括气球的图片进行预测,将预测结果发到群里
按照视频中 notebook 步骤,对 demo 图片进行特征图可视化和 Box AM 可视化,将结果发到群里
需提交的测试集评估指标(不能低于baseline指标的50%)
目标检测 RTMDet-tiny 模型性能不能 65 mAP
数据集
气球数据集可以直接下载 https://download.openmmlab.com/mmyolo/data/balloon_dataset.zip
同时也欢迎各位选择更复杂的数据集进行训练,可以选用一下 10 类的饮料数据集。
https://github.com/TommyZihao/Train_Custom_Dataset/tree/main/%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B/%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E6%95%B0%E6%8D%AE%E9%9B%86
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