The earliest batch of data was distributed as follows: According to teacher W said there are three kinds of water meters
Let's say that the first type
The second type of water meter is:
The third kind of water meter may be (because I am not sure)
The sample distribution in the first training set was:
A total of 8781 samples.
0 of the initial samples are: 6006 sheets
1 Sample starts with: 415 sheets
2 The beginning of the sample is: 361 Zhangquan for the second type of water meter
3 The beginning of the sample is: 620 First water meter sample + second type of water meter sample
4 The beginning of the sample is: 139 Zhangquan for the second type of water meter sample
5 The beginning of the sample is: 446 First water meter sample + second type of water meter sample
6 The beginning of the sample is: 394 Zhangquan the first Water meter sample-test samples are all the first water meters so the basic ability to identify the correct
7 The beginning of the sample is: 0
8 The beginning of the sample is: 400 Zhangquan the first type of water meter samples
9 Sample starts with: sample number is 0
Forecast 4800 samples in the test set:
The first batch tested 1700 sheets:
The second batch tested 3400 sheets:
2 of the second water meter is fully identified, but 2 of the first water meter will be 0 or other characters such as 5.
4 of the first water meter was incorrectly identified as 1 3 8, etc.
8 will identify it as 4 8 and 4.
The reason for the correct identification may be that the locator box is smaller when the location is detected:
Like to identify part of the 6 error as 5.
The second training added 3045 samples based on the first training:
respectively:
0 Add 791 first type water meter
1 Add 186 First water meter + second type of water meter
2 Add a few samples of the first water meter + most of the second water meter sample
3 543 The first sample of a water meter + the second type of water meter
4 The first sample of 243 sheets
5 402 samples of the second one
6 314 First Samples
7 66 Samples of the second one
8 38 First Samples