Comments (7)
yalecyu
commented on June 6, 2024
@WXDawaken 明显数据量太少，分类如果少的话，十万级别以上，如果分类比较多，我觉得百万以上。在做汉字的识别时，我使用200w的数据训练。
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WXDawaken
commented on June 6, 2024
@yalecyu 我的分类是只有数字和大写字母，如果我用生成的验证码数据集来预训练一个权重，再用现有数据finetune，可行吗
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yalecyu
commented on June 6, 2024
@WXDawaken 按你的分类，我觉得最好是十万以上的数据量。我觉得你的方案是可行的，同时注意提升生成的验证码的噪声，可以尝试将验证码贴到一些背景中来增加噪声和多样性，你可以一步一步来，我觉得这个预案是有可操作性。本质上因为你的数据量太少了不利于直接训练。
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WXDawaken
commented on June 6, 2024
好的，谢谢你的建议，我尝试一下
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WXDawaken
commented on June 6, 2024
@yalecyu 另外，我看repo带的caffemodel和prototxt不匹配，能否提供个新的caffemodel呢
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yalecyu
commented on June 6, 2024
@WXDawaken 确实不匹配，我修复了prototxt的一些BUG，目前你可能需要自己训练个model
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WXDawaken
commented on June 6, 2024
好的 谢谢
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Related Issues (20)
- Wrong accuracy when I change test_iter HOT 1
- 测试结果出现了很大问题 HOT 9
- 测试例子出现问题 HOT 5
- hello,麻烦咨询下我这边有个维度不匹配的情况 HOT 11
- 标签问题 HOT 4
- ContinuationIndicator出自哪里？
- your model doesn't match to your deploy.txt HOT 4
- 图片是不是必须这个格式，多一点边框都不行吗？ HOT 1
- accuracy is 0 HOT 5
- example core dump
- 测试结果的问题 HOT 3
- test_accuracy和模型实际测试的值不同
- Alphabets in label's questions HOT 2
- 将CNN换成densenet结构后，BN层设置问题
- CNN结构替换成denseNet时遇到的问题
- make fail with protobuf/stubs/common.h not found
- 训练你的代码出现维度不匹配
- check failed: registry.count(type)==1(0 vs 1) unknown layer type:
- 你好，训练自己数据的时候准确率和loss都为0 HOT 1
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