About the training data
Janezzliu opened this issue · comments
你好，我前些天也用SSD算法识别安全帽，不过是基于tensorflow的，准确度大概70％，我想知道你是怎么制作训练样本的，不知道能不能发几个样本图片到我的邮箱？13026107060@163.com.顺便想问下你识别的准确度是多少啊？最后谢谢你分享到github上。
请问现在可以公开数据集么？或者可以私发我一下么？好像目前没有公开的安全帽检测的数据集，我也是学生.保证不做他用~谢谢啦
Hello,
The pretrained models are having good acuracy.
Can we get the training steps and training data?
Hi, everyone, the training data will available sooner or later for more data are added to the dataset.
Hi there, @wujixiu !
Really nice code and trained networks. For medium to large objects, it works perfectly!
I would like to know, if possible, more details about your training data. This would help me to build my own dataset. I would like to know things like:
- How many images does your training set have?
- How did you annotate your images? By hand or with some sort of pre-detection?
- How much is your positive/negative samples ratio?
Really nice work, congrats!
Hi, @amenegola
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Our dataset provides 3,174 images containing 18,893 hardhats instances (including non-hardhats regions).
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All images are labelled mannually with labelImg.
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Same pos/neg ratio in SSD.
Training Data will be released at the end of this month.
Hello @wujixiu!
Awesome, thanks for this reply, you are very helpful.
Congrats again on the model!
Cheers,
Afonso
I'm looking forward to the training data, too. Thanks for your great job.
非常感谢你所做的贡献，不知道博主是不是可以公开一下数据集，同时我也有些问题想要请教一下博主，我的QQ是1018949282，同时再次非常感谢博主！