# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license # Ultralytics YOLO26 object detection model with P3/8 - P6/64 outputs # Model docs: https://docs.ultralytics.com/models/yolo26 # Task docs: https://docs.ultralytics.com/tasks/detect # Parameters nc: 80 # number of classes end2end: True # whether to use end-to-end mode reg_max: 1 # DFL bins scales: # model compound scaling constants, i.e. 'model=yolo26n-p6.yaml' will call yolo26-p6.yaml with scale 'n' # [depth, width, max_channels] n: [0.50, 0.25, 1024] # summary: 349 layers, 4,063,872 parameters, 4,063,872 gradients, 6.0 GFLOPs s: [0.50, 0.50, 1024] # summary: 349 layers, 15,876,448 parameters, 15,876,448 gradients, 22.3 GFLOPs m: [0.50, 1.00, 512] # summary: 369 layers, 32,400,096 parameters, 32,400,096 gradients, 77.3 GFLOPs l: [1.00, 1.00, 512] # summary: 523 layers, 39,365,600 parameters, 39,365,600 gradients, 97.0 GFLOPs x: [1.00, 1.50, 512] # summary: 523 layers, 88,330,368 parameters, 88,330,368 gradients, 216.6 GFLOPs # YOLO26n backbone backbone: # [from, repeats, module, args] - [-1, 1, Conv, [64, 3, 2]] # 0-P1/2 - [-1, 1, Conv, [128, 3, 2]] # 1-P2/4 - [-1, 2, C3k2, [256, False, 0.25]] - [-1, 1, Conv, [256, 3, 2]] # 3-P3/8 - [-1, 2, C3k2, [512, False, 0.25]] - [-1, 1, Conv, [512, 3, 2]] # 5-P4/16 - [-1, 2, C3k2, [512, True]] - [-1, 1, Conv, [768, 3, 2]] # 7-P5/32 - [-1, 2, C3k2, [768, True]] - [-1, 1, Conv, [1024, 3, 2]] # 9-P6/64 - [-1, 2, C3k2, [1024, True]] - [-1, 1, SPPF, [1024, 5]] # 11 - [-1, 2, C2PSA, [1024]] # 12 # YOLO26n head head: - [-1, 1, nn.Upsample, [None, 2, "nearest"]] - [[-1, 8], 1, Concat, [1]] # cat backbone P5 - [-1, 2, C3k2, [768, True]] # 15 - [-1, 1, nn.Upsample, [None, 2, "nearest"]] - [[-1, 6], 1, Concat, [1]] # cat backbone P4 - [-1, 2, C3k2, [512, True]] # 18 - [-1, 1, nn.Upsample, [None, 2, "nearest"]] - [[-1, 4], 1, Concat, [1]] # cat backbone P3 - [-1, 2, C3k2, [256, True]] # 21 (P3/8-small) - [-1, 1, Conv, [256, 3, 2]] - [[-1, 18], 1, Concat, [1]] # cat head P4 - [-1, 2, C3k2, [512, True]] # 24 (P4/16-medium) - [-1, 1, Conv, [512, 3, 2]] - [[-1, 15], 1, Concat, [1]] # cat head P5 - [-1, 2, C3k2, [768, True]] # 27 (P5/32-large) - [-1, 1, Conv, [768, 3, 2]] - [[-1, 12], 1, Concat, [1]] # cat head P6 - [-1, 1, C3k2, [1024, True, 0.5, True]] # 30 (P6/64-large) - [[21, 24, 27, 30], 1, Detect, [nc]] # Detect(P3, P4, P5, P6)