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Update Readme.md - parameter for small objects

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Alexey
2018-02-08 01:13:08 +03:00
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@ -341,6 +341,8 @@ Example of custom object detection: `darknet.exe detector test data/obj.data yol
* desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides
* for training on small objects, add the parameter `small_object=1` in the last layer [region] in your cfg-file
2. After training - for detection:
* Increase network-resolution by set in your `.cfg`-file (`height=608` and `width=608`) or (`height=832` and `width=832`) or (any value multiple of 32) - this increases the precision and makes it possible to detect small objects: [link](https://github.com/AlexeyAB/darknet/blob/master/cfg/yolo-voc.2.0.cfg#L4)