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| | | * desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides |
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| | | * desirable that your training dataset include images with objects (without bounded boxes) that you do not want to detect - negative samples |
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| | | * desirable that your training dataset include images with objects (without labels) that you do not want to detect - negative samples |
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| | | * for training on small objects, add the parameter `small_object=1` in the last layer [region] in your cfg-file |
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