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Now I have some pictures, but how i create label(labelme?) ? And then how I train this datasets?
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Hi, I used labelme to create .json file for each image of my own, but I want to join them into one file annotation.json file as the one in MS COCO, please show me how, thanks
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整体过程描述：
用自己的数据集(.jsp格式)，在labelme中，按顺时针方向，打标签，得到的全是float类型的数值，读取labelme保存的json文件，并保存到.txt的文本中，训练了约700轮次，发现recall, precision, f1全为0.0，预测的时候，三个指标也是0.0
但训练和预测时，用原有的icdar2015这个数据集，训练的test不全为0.0，预测的三个指标…
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### Question
官方数据集结构为：
coco/
├── train2017/
├── val2017/
└── annotations/
├── instances_train2017.json
└── instances_val2017.json`
json文件存放了所有图片对应的标注信息；
我自己的数据集是每个图片对应…
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### Provide environment information
/home/miniconda3/envs/labelme/bin/python
Python 3.12.0
labelme 5.2.1
### What OS are you using?
ubuntu 20.04
### Describe the Bug
I have …
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How can I fine tune the dataset annotated with labelme, which only has images and labels? Thank you.
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## What
Data Labeling
## Why
To start training in the future
## TODO
- [ ] Using Labelme
- [ ] Using Tablet
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Thank you for your excellent work and I have some questions.
Is it possible to train and predict using my own data, and if so, what should I do about it? I'm using the Labelme tool to label the image…
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感谢您分享mask rcnn的rrpn模型，接触深度学习时间不太长，所以有些地方没有看明白
1.我理解的是我需要把我的数据组织成VOC数据集的格式。我手里有自己用labelme制作的json格式的数据集，我把他转化为xml格式然后组织成
VOC
|_ JPEGImages
| |_ .jpg
| |_ ...
| |_ .jpg
|_ Annotations
| |_ .j…
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hii I have dataset prepared through labelme (they are json files with their respective images) and I know I have to edit Dataset class but I need to know how to load my dataset ?