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@ -264,7 +264,9 @@ For example, you stopped training after 9000 iterations, but the best result can
![Overfitting](https://hsto.org/files/5dc/7ae/7fa/5dc7ae7fad9d4e3eb3a484c58bfc1ff5.png) ![Overfitting](https://hsto.org/files/5dc/7ae/7fa/5dc7ae7fad9d4e3eb3a484c58bfc1ff5.png)
If training is stopped after 9000 iterations, to validate some of previous weights use this commands: 2.1. At first, you should put filenames of validation images to file `data\voc.2007.test` (format as in `train.txt`) or if you haven't validation images - simply copy `data\train.txt` to `data\voc.2007.test`.
2.2 If training is stopped after 9000 iterations, to validate some of previous weights use this commands:
* `darknet.exe detector recall data/obj.data yolo-obj.cfg backup\yolo-obj_7000.weights` * `darknet.exe detector recall data/obj.data yolo-obj.cfg backup\yolo-obj_7000.weights`
* `darknet.exe detector recall data/obj.data yolo-obj.cfg backup\yolo-obj_8000.weights` * `darknet.exe detector recall data/obj.data yolo-obj.cfg backup\yolo-obj_8000.weights`