yolov5/models/hub/anchors.yaml

# Ultralytics YOLOv5 🚀, AGPL-3.0 license
# Default anchors for COCO data

# P5 -------------------------------------------------------------------------------------------------------------------
# P5-640:
anchors_p5_640:
  - [10, 13, 16, 30, 33, 23] # P3/8
  - [30, 61, 62, 45, 59, 119] # P4/16
  - [116, 90, 156, 198, 373, 326] # P5/32

# P6 -------------------------------------------------------------------------------------------------------------------
# P6-640:  thr=0.25: 0.9964 BPR, 5.54 anchors past thr, n=12, img_size=640, metric_all=0.281/0.716-mean/best, past_thr=0.469-mean: 9,11,  21,19,  17,41,  43,32,  39,70,  86,64,  65,131,  134,130,  120,265,  282,180,  247,354,  512,387
anchors_p6_640:
  - [9, 11, 21, 19, 17, 41] # P3/8
  - [43, 32, 39, 70, 86, 64] # P4/16
  - [65, 131, 134, 130, 120, 265] # P5/32
  - [282, 180, 247, 354, 512, 387] # P6/64

# P6-1280:  thr=0.25: 0.9950 BPR, 5.55 anchors past thr, n=12, img_size=1280, metric_all=0.281/0.714-mean/best, past_thr=0.468-mean: 19,27,  44,40,  38,94,  96,68,  86,152,  180,137,  140,301,  303,264,  238,542,  436,615,  739,380,  925,792
anchors_p6_1280:
  - [19, 27, 44, 40, 38, 94] # P3/8
  - [96, 68, 86, 152, 180, 137] # P4/16
  - [140, 301, 303, 264, 238, 542] # P5/32
  - [436, 615, 739, 380, 925, 792] # P6/64

# P6-1920:  thr=0.25: 0.9950 BPR, 5.55 anchors past thr, n=12, img_size=1920, metric_all=0.281/0.714-mean/best, past_thr=0.468-mean: 28,41,  67,59,  57,141,  144,103,  129,227,  270,205,  209,452,  455,396,  358,812,  653,922,  1109,570,  1387,1187
anchors_p6_1920:
  - [28, 41, 67, 59, 57, 141] # P3/8
  - [144, 103, 129, 227, 270, 205] # P4/16
  - [209, 452, 455, 396, 358, 812] # P5/32
  - [653, 922, 1109, 570, 1387, 1187] # P6/64

# P7 -------------------------------------------------------------------------------------------------------------------
# P7-640:  thr=0.25: 0.9962 BPR, 6.76 anchors past thr, n=15, img_size=640, metric_all=0.275/0.733-mean/best, past_thr=0.466-mean: 11,11,  13,30,  29,20,  30,46,  61,38,  39,92,  78,80,  146,66,  79,163,  149,150,  321,143,  157,303,  257,402,  359,290,  524,372
anchors_p7_640:
  - [11, 11, 13, 30, 29, 20] # P3/8
  - [30, 46, 61, 38, 39, 92] # P4/16
  - [78, 80, 146, 66, 79, 163] # P5/32
  - [149, 150, 321, 143, 157, 303] # P6/64
  - [257, 402, 359, 290, 524, 372] # P7/128

# P7-1280:  thr=0.25: 0.9968 BPR, 6.71 anchors past thr, n=15, img_size=1280, metric_all=0.273/0.732-mean/best, past_thr=0.463-mean: 19,22,  54,36,  32,77,  70,83,  138,71,  75,173,  165,159,  148,334,  375,151,  334,317,  251,626,  499,474,  750,326,  534,814,  1079,818
anchors_p7_1280:
  - [19, 22, 54, 36, 32, 77] # P3/8
  - [70, 83, 138, 71, 75, 173] # P4/16
  - [165, 159, 148, 334, 375, 151] # P5/32
  - [334, 317, 251, 626, 499, 474] # P6/64
  - [750, 326, 534, 814, 1079, 818] # P7/128

# P7-1920:  thr=0.25: 0.9968 BPR, 6.71 anchors past thr, n=15, img_size=1920, metric_all=0.273/0.732-mean/best, past_thr=0.463-mean: 29,34,  81,55,  47,115,  105,124,  207,107,  113,259,  247,238,  222,500,  563,227,  501,476,  376,939,  749,711,  1126,489,  801,1222,  1618,1227
anchors_p7_1920:
  - [29, 34, 81, 55, 47, 115] # P3/8
  - [105, 124, 207, 107, 113, 259] # P4/16
  - [247, 238, 222, 500, 563, 227] # P5/32
  - [501, 476, 376, 939, 749, 711] # P6/64
  - [1126, 489, 801, 1222, 1618, 1227] # P7/128