Bananaware

2-out

Oct 2nd, 2020 (edited)
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  1. ROC sem aug: https://i.imgur.com/Ht2gycS.png (0.92 +- 0.07)
  2. ROC com aug: https://i.imgur.com/kK07yKc.png (0.88 +- 0.11)
  3.  
  4. augmenting para testes: gerar 4 imgs para cada original, deslocar ROI [-20, 20, -40, 40]
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  8. buckets 10%
  9. % acertos-por-animal sem aug: [1, 2, 2, 1, 3, 4, 7, 7, 10, 98] | [0.01, 0.01, 0.01, 0.01, 0.02, 0.03, 0.05, 0.05, 0.07, 0.73])
  10. % acertos-por-animal com aug: [1, 0, 3, 2, 6, 4, 6, 10, 4, 99] | [0.01, 0.00, 0.02, 0.01, 0.04, 0.03, 0.04, 0.07, 0.03, 0.73])
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  12. buckets 20% (melhor comparação com consistência por foto abaixo)
  13. % acertos-por-animal sem aug: [0.02, 0.02, 0.05, 0.17, 0.73]
  14. % acertos-por-animal com aug: [0.01, 0.03, 0.07, 0.14, 0.77]
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  17. consistência por foto. aumentando cada imagem 1 -> 5, número de acertos
  18. [68, 60, 102, 131, 1108] | [0.05, 0.04, 0.07, 0.09, 0.75])
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  22. sem aug
  23. Correct: 1205 | Classif: 1469 | Correct+: 175 | Classif+: 219 | Good: 395
  24. Accuracy: 0.820 | Precision: 0.799 | Recall: 0.443 | Sample: 1469
  25.  
  26. com aug
  27. Correct: 6033 | Classif: 7345 | Correct+: 652 | Classif+: 1013 | Good: 1603
  28. Accuracy: 0.821 | Precision: 0.644 | Recall: 0.407 | Sample: 7345
  29.  
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