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Result of My Cascade Training is Bad

asked 2020-11-20 16:56:26 -0500

BurakM gravatar image

Hello everyone,

I want make a fish detection using haar cascade. I have 183 positive, 270 negative images. Training is completed in a short time. But results are very bad, terrible. I attached positive,negative samples and result.

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answered 2020-11-21 02:13:53 -0500

berak gravatar image

yea, that's expected. cascades are for rigid things with reliable texture and pose.

that's not, what you have.

you probably tried to train it on "aquarium fish", but that's a far too broad category, and any variation in pose or texture will degrade the detection

I have 183 positive, 270 negative images.

even if it were the appropriate method, you would need like 50x the data

to train something successful,

  • you need a lot more data
  • a different mechanism (e.g. retrain a detection cnn, like yolo or ssd)
  • more refined categories / object classes
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Asked: 2020-11-20 16:56:26 -0500

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Last updated: Nov 21