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Bananaware

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Bananaware
Jul 24th, 2020
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  1. tl;dr:
  2. - sem melhorias nos resultados...
  3. - "safe" data augmentation: horizontal flip USP, Jersey. quase balanceia o dataset, boas 44.58% (3948/8856)
  4. - algumas tentativas bizarras. variações no tamanho da imagem, profundidade do modelo, pre-processing (gaussian blur, contraste, até unsharp masking/border detection)
  5. - parece que quanto mais eu corrijo a entrada, mais o resultado piora...
  6. - provavelmente requerindo mais nuance corrigindo as entradas, mas ainda sempre dá overfit muito rápido no train, e reduzir a capacidade do modelo não melhora valid/test. mais ideias?
  7.  
  8.  
  9. ROC: https://i.imgur.com/xBKzlLN.png
  10.  
  11.  
  12.  
  13. dataset:
  14.  
  15. sem augmentation:
  16. Puruna_1 | Good: 102 | Bad: 773 | 11.66% (102/875)
  17. Puruna_2 | Good: 129 | Bad: 1167 | 9.954% (129/1296)
  18. Puruna_3 | Good: 101 | Bad: 1692 | 5.633% (101/1793)
  19. Total | Good: 332 | Bad: 3632 | 8.375% (332/3964)
  20.  
  21. Jersey_1 | Good: 484 | Bad: 183 | 72.56% (484/667)
  22. Jersey_2 | Good: 155 | Bad: 139 | 52.72% (155/294)
  23. Jersey_3 | Good: 384 | Bad: 114 | 77.11% (384/498)
  24. Total | Good: 1023 | Bad: 436 | 70.12% (1023/1459)
  25.  
  26. USP-P1 | Good: 265 | Bad: 70 | 79.1% (265/335)
  27. USP-P2 | Good: 255 | Bad: 55 | 82.26% (255/310)
  28. USP-P3 | Good: 265 | Bad: 77 | 77.49% (265/342)
  29. Total | Good: 785 | Bad: 202 | 79.53% (785/987)
  30.  
  31. Total | Good: 2140 | Bad: 4270 | 33.39% (2140/6410)
  32.  
  33.  
  34. augmented:
  35. Puruna_1 | Good: 102 | Bad: 773 | 11.66% (102/875)
  36. Puruna_2 | Good: 129 | Bad: 1167 | 9.954% (129/1296)
  37. Puruna_3 | Good: 101 | Bad: 1692 | 5.633% (101/1793)
  38. Total | Good: 332 | Bad: 3632 | 8.375% (332/3964)
  39.  
  40. Jersey_1 | Good: 484 | Bad: 183 | 72.56% (484/667)
  41. Jersey_1_m | Good: 484 | Bad: 183 | 72.56% (484/667)
  42. Jersey_2 | Good: 155 | Bad: 139 | 52.72% (155/294)
  43. Jersey_2_m | Good: 155 | Bad: 139 | 52.72% (155/294)
  44. Jersey_3 | Good: 384 | Bad: 114 | 77.11% (384/498)
  45. Jersey_3_m | Good: 384 | Bad: 114 | 77.11% (384/498)
  46. Total | Good: 2046 | Bad: 872 | 70.12% (2046/2918)
  47.  
  48. USP-P1 | Good: 265 | Bad: 70 | 79.1% (265/335)
  49. USP-P1_m | Good: 265 | Bad: 70 | 79.1% (265/335)
  50. USP-P2 | Good: 255 | Bad: 55 | 82.26% (255/310)
  51. USP-P2_m | Good: 255 | Bad: 55 | 82.26% (255/310)
  52. USP-P3 | Good: 265 | Bad: 77 | 77.49% (265/342)
  53. USP-P3_m | Good: 265 | Bad: 77 | 77.49% (265/342)
  54. Total | Good: 1570 | Bad: 404 | 79.53% (1570/1974)
  55.  
  56. Total | Good: 3948 | Bad: 4908 | 44.58% (3948/8856)
  57.  
  58.  
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