readme: # Projeto Final - Modelos Preditivos Conexionistas
  
  ### Nome do aluno
  
  |**Tipo de Projeto**|**Modelo Selecionado**|**Linguagem**|
  |--|--|--|
  |<br>Deteção de Objetos|YOLOv5|PyTorch|
  
  ## Performance
  
  O modelo treinado possui performance de **69%**.
  
  ### Output do bloco de treinamento
  
  <details>
    <summary>Click to expand!</summary>
    
    ```text
       Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       0/2999      14.1G     0.1176    0.03496    0.04929        227        640: 100% 5/5 [00:08<00:00,  1.65s/it]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:04<00:00,  4.23s/it]
                     all         79        172    0.00117       0.29    0.00144   0.000293
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       1/2999      13.3G       0.11    0.03478    0.04837        216        640: 100% 5/5 [00:03<00:00,  1.34it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.98s/it]
                     all         79        172    0.00148       0.36    0.00143   0.000484
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       2/2999      13.3G    0.09838    0.03372    0.04588        189        640: 100% 5/5 [00:03<00:00,  1.29it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.42s/it]
                     all         79        172    0.00276       0.37    0.00585    0.00135
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       3/2999      13.3G    0.08941    0.03499    0.04303        171        640: 100% 5/5 [00:03<00:00,  1.39it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.42s/it]
                     all         79        172    0.00324       0.61    0.00878    0.00303
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       4/2999      13.3G    0.08229    0.03798    0.03902        230        640: 100% 5/5 [00:03<00:00,  1.39it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.24s/it]
                     all         79        172    0.00479      0.803     0.0192     0.0057
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       5/2999      13.3G    0.07235    0.03762    0.03592        187        640: 100% 5/5 [00:03<00:00,  1.39it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.32s/it]
                     all         79        172      0.772     0.0641     0.0685     0.0199
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       6/2999      13.3G    0.06836    0.03883    0.03304        227        640: 100% 5/5 [00:03<00:00,  1.38it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.07s/it]
                     all         79        172      0.332      0.221     0.0677     0.0184
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       7/2999      13.3G    0.06247    0.03535     0.0311        201        640: 100% 5/5 [00:03<00:00,  1.38it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.57s/it]
                     all         79        172      0.326      0.266      0.082     0.0217
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       8/2999      13.3G    0.05948     0.0349    0.02835        161        640: 100% 5/5 [00:03<00:00,  1.36it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.30s/it]
                     all         79        172      0.393      0.295      0.175     0.0498
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
       9/2999      13.3G    0.05892    0.03628    0.02495        221        640: 100% 5/5 [00:03<00:00,  1.38it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.40s/it]
                     all         79        172      0.386      0.303      0.138     0.0436
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
      10/2999      13.3G    0.05797    0.03046    0.02325        158        640: 100% 5/5 [00:03<00:00,  1.39it/s]
                   Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.24s/it]
                     all         79        172      0.449      0.376      0.226     0.0926
  
        Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size
      11/2999      13.3G    0.05604    0.03243    0.02248        226        640: 100% 5/5 [00:03<00:00,  1.37it/s]
            