📚 Naruto Artificial inteligence

• NAI 45 imagens (Available for download and use)
• NAI 156 imagens (Available for download and use)
• NAI 845 imagens (train)
• NAI 2k imagens (train)

index model

• N-A-I 45 imagens
• N-A-I 156 imagens
• N-A-I 845 imagens
• N-A-I 2k imagens

index dataset

• https://huggingface.co/datasets/ualerr/dataset_NAI_45_frames/
• https://huggingface.co/datasets/ualerr/data_NAI_200_frames/
• https://huggingface.co/datasets/ualerr/data_NAI_842_frames/

N-A-I 2.228 imagens

N-A-I 845 imagens

N-A-I 156 imagens

• epochs: 20
• metrics/mAP50-95(B): 0.16716
• metrics/mAP50(B): 0.36526
• metrics/precision(B): 0.3872
• imgsz: 640px
• batch: 1
• Hardware for train: Quadro P600 2gb,16ram
• time in training 5h
• YOLOv8x Parameters 68 M
• DOWNLOAD IN https://huggingface.co/ualerr/N-A-I/tree/main/naruto_v2

📚Example of 156 imagens

📚Results

📚Predict validation

• input

  

• output

  

• input

  

• output

  

N-A-I 45 imagens

• epochs: 30
• metrics/mAP50-95(B): 0.3861
• metrics/mAP50(B): 0.62534
• metrics/precision(B): 0.73028
• imgsz: 640px
• batch: 16
• Hardware for train: 12cpu,16ram
• time in training: unknow
• YOLOv8n params: 3.2M
• DOWNLOAD IN https://huggingface.co/ualerr/N-A-I/tree/main/naruto_v1

📚Example of 45 imagens

📚Results

📚Predict validation

• input

  

• output

  

• input

  

• output

  

• CREDITS:
• https://github.com/inteligenciamilgrau/treinando_yolov8
• https://github.com/ultralytics/ultralytics