Publish model head_detect_v0_s, on 2025-02-07 00:17:07 CST

.gitattributes

@@ -37,3 +37,7 @@ head_detect_v0_n/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
 head_detect_v0_n/labels.jpg filter=lfs diff=lfs merge=lfs -text
 head_detect_v0_n/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
 head_detect_v0_n/results.png filter=lfs diff=lfs merge=lfs -text
+head_detect_v0_s/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
+head_detect_v0_s/labels.jpg filter=lfs diff=lfs merge=lfs -text
+head_detect_v0_s/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
+head_detect_v0_s/results.png filter=lfs diff=lfs merge=lfs -text

head_detect_v0_s/events.out.tfevents.1738662536.74aa4261331bbcab0987b94433af8ac622a654e7594a46e49f97167a.259603.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b1c1968262656723fa078de31da57372e00398b7d0c7249719d903e6028e3c1
+size 252077

head_detect_v0_s/labels.json

@@ -0,0 +1,3 @@
+[
+    "head"
+]

head_detect_v0_s/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:811cd5f61084d896a6a4f4a634057e0e9e8ea800e825311e6d49df69d9d376bf
+size 44615325

head_detect_v0_s/model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03ca026d00d946a0771512a16b7856bc72b3cebe6a462bb265abe1950acce98f
+size 22530985

head_detect_v0_s/model_artifacts.json

@@ -0,0 +1 @@
+{"names": ["head"], "yaml": {"nc": 1, "depth_multiple": 0.33, "width_multiple": 0.5, "backbone": [[-1, 1, "Conv", [64, 3, 2]], [-1, 1, "Conv", [128, 3, 2]], [-1, 3, "C2f", [128, true]], [-1, 1, "Conv", [256, 3, 2]], [-1, 6, "C2f", [256, true]], [-1, 1, "Conv", [512, 3, 2]], [-1, 6, "C2f", [512, true]], [-1, 1, "Conv", [1024, 3, 2]], [-1, 3, "C2f", [1024, true]], [-1, 1, "SPPF", [1024, 5]]], "head": [[-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 6], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 4], 1, "Concat", [1]], [-1, 3, "C2f", [256]], [-1, 1, "Conv", [256, 3, 2]], [[-1, 12], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "Conv", [512, 3, 2]], [[-1, 9], 1, "Concat", [1]], [-1, 3, "C2f", [1024]], [[15, 18, 21], 1, "Detect", ["nc"]]], "ch": 3}, "nc": 1, "args": {"model": "yolov8s.pt", "batch": 512, "imgsz": 640}, "ultralytics_version": "8.3.70", "model_type": "yolov8"}

head_detect_v0_s/model_type.json

@@ -0,0 +1,3 @@
+{
+    "model_type": "yolo"
+}

head_detect_v0_s/results.csv

@@ -0,0 +1,101 @@
+epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
+1,413.196,1.43304,1.06709,1.34225,0.84507,0.64583,0.72062,0.41218,1.26926,0.64134,1.10862,0.00332691,0.00332691,0.00332691
+2,587.745,1.23461,0.68065,1.16154,0.84827,0.6494,0.72298,0.41591,1.29623,0.641,1.12725,0.00659431,0.00659431,0.00659431
+3,764.606,1.21543,0.68064,1.15399,0.83606,0.60041,0.68498,0.38853,1.37552,0.86953,1.17297,0.0097957,0.0097957,0.0097957
+4,940.704,1.21351,0.68878,1.16057,0.84879,0.63093,0.70923,0.4139,1.29114,0.72161,1.14493,0.009703,0.009703,0.009703
+5,1118.97,1.1859,0.66262,1.15209,0.85563,0.64584,0.71746,0.41858,1.27368,0.67136,1.13537,0.009604,0.009604,0.009604
+6,1296.84,1.15792,0.64126,1.13678,0.86679,0.6485,0.72851,0.42688,1.27818,0.65744,1.15018,0.009505,0.009505,0.009505
+7,1476.43,1.14078,0.629,1.13223,0.86613,0.6511,0.73143,0.43252,1.25453,0.65219,1.13417,0.009406,0.009406,0.009406
+8,1654.29,1.13931,0.62757,1.12626,0.86216,0.66106,0.73625,0.43559,1.28193,0.64754,1.14691,0.009307,0.009307,0.009307
+9,1834.22,1.12531,0.61606,1.1203,0.86497,0.65896,0.73724,0.43753,1.25053,0.64678,1.12336,0.009208,0.009208,0.009208
+10,2012.82,1.11958,0.61256,1.11715,0.86716,0.66715,0.74299,0.44194,1.25178,0.63155,1.12333,0.009109,0.009109,0.009109
+11,2192.33,1.10758,0.60883,1.11146,0.87033,0.66703,0.74461,0.44789,1.23826,0.63513,1.12197,0.00901,0.00901,0.00901
+12,2369.47,1.10938,0.60833,1.11101,0.87561,0.67051,0.74786,0.44695,1.23853,0.61333,1.12652,0.008911,0.008911,0.008911
+13,2552.72,1.10013,0.60106,1.10719,0.87281,0.67504,0.75155,0.45237,1.23104,0.60551,1.12124,0.008812,0.008812,0.008812
+14,2736.48,1.08949,0.59223,1.10374,0.87631,0.67636,0.75346,0.45569,1.21659,0.5882,1.1054,0.008713,0.008713,0.008713
+15,2916.26,1.08512,0.58891,1.09833,0.87489,0.68184,0.75663,0.45548,1.22416,0.58391,1.11716,0.008614,0.008614,0.008614
+16,3103.01,1.08719,0.59576,1.10272,0.87475,0.68305,0.75856,0.46083,1.21086,0.58289,1.10825,0.008515,0.008515,0.008515
+17,3283.49,1.08697,0.59181,1.09978,0.87485,0.68648,0.76096,0.4603,1.21192,0.57241,1.1045,0.008416,0.008416,0.008416
+18,3466.79,1.07723,0.58449,1.09716,0.877,0.6893,0.76422,0.46297,1.2105,0.57186,1.11166,0.008317,0.008317,0.008317
+19,3654.75,1.07963,0.58322,1.09256,0.87711,0.69255,0.76609,0.46577,1.20347,0.56232,1.10375,0.008218,0.008218,0.008218
+20,3844.59,1.07258,0.58419,1.09134,0.87588,0.69214,0.76527,0.46631,1.20244,0.55838,1.10356,0.008119,0.008119,0.008119
+21,4026.28,1.06959,0.58007,1.08932,0.87905,0.69308,0.76735,0.46781,1.201,0.55841,1.10197,0.00802,0.00802,0.00802
+22,4207.82,1.06648,0.57555,1.08424,0.87787,0.69615,0.76927,0.46885,1.19913,0.55339,1.10266,0.007921,0.007921,0.007921
+23,4385.66,1.05769,0.57048,1.08585,0.87728,0.6974,0.77008,0.46933,1.20128,0.54954,1.10228,0.007822,0.007822,0.007822
+24,4573,1.06346,0.57713,1.08325,0.87905,0.69756,0.77057,0.46986,1.20045,0.54965,1.1029,0.007723,0.007723,0.007723
+25,4753.38,1.05845,0.57328,1.08022,0.88214,0.69684,0.77182,0.47062,1.20044,0.54897,1.10159,0.007624,0.007624,0.007624
+26,4929.29,1.04338,0.56458,1.08257,0.87949,0.6977,0.772,0.4713,1.2007,0.5494,1.10486,0.007525,0.007525,0.007525
+27,5106.78,1.05946,0.57304,1.08206,0.87883,0.69892,0.77255,0.47204,1.201,0.54932,1.10517,0.007426,0.007426,0.007426
+28,5285.78,1.0494,0.56592,1.07994,0.87894,0.69969,0.77306,0.47268,1.19893,0.54753,1.10215,0.007327,0.007327,0.007327
+29,5464.27,1.0463,0.5626,1.07488,0.88151,0.69896,0.77357,0.47301,1.1991,0.54548,1.10171,0.007228,0.007228,0.007228
+30,5646.71,1.04979,0.56251,1.075,0.88178,0.69924,0.77419,0.4737,1.19696,0.54576,1.09924,0.007129,0.007129,0.007129
+31,5826.17,1.04399,0.56026,1.07545,0.88038,0.6994,0.77393,0.474,1.19649,0.54464,1.09933,0.00703,0.00703,0.00703
+32,6003.66,1.04077,0.5644,1.07521,0.88141,0.69941,0.77401,0.47421,1.19658,0.54401,1.10005,0.006931,0.006931,0.006931
+33,6181.56,1.03325,0.55503,1.07385,0.88134,0.69947,0.77432,0.47439,1.1969,0.54329,1.10061,0.006832,0.006832,0.006832
+34,6361.03,1.03125,0.55591,1.07225,0.88185,0.6997,0.77451,0.47459,1.19662,0.54313,1.10113,0.006733,0.006733,0.006733
+35,6538.03,1.03627,0.55583,1.07208,0.88117,0.69963,0.77442,0.47465,1.19605,0.54334,1.10076,0.006634,0.006634,0.006634
+36,6718.26,1.03124,0.55325,1.06776,0.88205,0.69932,0.77469,0.47488,1.19593,0.54309,1.10088,0.006535,0.006535,0.006535
+37,6903.66,1.02436,0.55145,1.06721,0.88234,0.69952,0.77481,0.47503,1.19578,0.54317,1.10086,0.006436,0.006436,0.006436
+38,7083.67,1.02445,0.55145,1.0668,0.88312,0.69923,0.775,0.47516,1.19529,0.54307,1.10054,0.006337,0.006337,0.006337
+39,7274.45,1.02472,0.55078,1.06622,0.88326,0.6995,0.77518,0.47573,1.19541,0.54341,1.10073,0.006238,0.006238,0.006238
+40,7452.54,1.02319,0.54446,1.06025,0.88236,0.69985,0.77518,0.47562,1.19538,0.54399,1.10063,0.006139,0.006139,0.006139
+41,7637.27,1.01724,0.54579,1.06397,0.88205,0.70026,0.77528,0.47568,1.19549,0.54438,1.10051,0.00604,0.00604,0.00604
+42,7823.7,1.01363,0.54247,1.06236,0.88108,0.70128,0.77534,0.47556,1.19547,0.54496,1.10048,0.005941,0.005941,0.005941
+43,8011.54,1.00449,0.5339,1.05389,0.88274,0.70041,0.77545,0.4756,1.19499,0.54493,1.10014,0.005842,0.005842,0.005842
+44,8190.38,1.00773,0.5383,1.05675,0.88185,0.70135,0.77574,0.47579,1.19477,0.545,1.10001,0.005743,0.005743,0.005743
+45,8379.14,1.00223,0.5352,1.0514,0.88288,0.70071,0.77555,0.47576,1.19434,0.54523,1.09975,0.005644,0.005644,0.005644
+46,8565.09,1.00079,0.53668,1.0536,0.88329,0.70028,0.77564,0.47607,1.19407,0.54569,1.09939,0.005545,0.005545,0.005545
+47,8744.26,1.00658,0.53635,1.05523,0.88396,0.70024,0.77587,0.47617,1.1938,0.54619,1.09915,0.005446,0.005446,0.005446
+48,8931.52,0.9968,0.52928,1.04852,0.88358,0.70041,0.7759,0.47619,1.19372,0.54666,1.09899,0.005347,0.005347,0.005347
+49,9109.79,0.99409,0.52841,1.05009,0.88369,0.70051,0.77616,0.47628,1.19328,0.54719,1.09872,0.005248,0.005248,0.005248
+50,9289.12,0.99466,0.53075,1.05096,0.88407,0.70051,0.77636,0.47658,1.19301,0.54737,1.09848,0.005149,0.005149,0.005149
+51,9468.3,0.99144,0.52659,1.04616,0.88308,0.70098,0.77635,0.47669,1.19256,0.54792,1.0982,0.00505,0.00505,0.00505
+52,9654.43,0.98814,0.52553,1.04808,0.88375,0.70085,0.77657,0.47689,1.19226,0.54889,1.09787,0.004951,0.004951,0.004951
+53,9832.58,0.98715,0.52283,1.04257,0.88382,0.7014,0.77668,0.47704,1.19174,0.54986,1.09735,0.004852,0.004852,0.004852
+54,10011.6,0.98788,0.52563,1.0446,0.88423,0.70109,0.77678,0.47725,1.19109,0.55077,1.09683,0.004753,0.004753,0.004753
+55,10187.6,0.97987,0.51684,1.04104,0.88421,0.70132,0.77695,0.47743,1.19095,0.55164,1.09641,0.004654,0.004654,0.004654
+56,10367.3,0.9767,0.51798,1.04101,0.88453,0.70142,0.7772,0.47752,1.19074,0.55281,1.09599,0.004555,0.004555,0.004555
+57,10550.2,0.97904,0.51911,1.04155,0.88514,0.70111,0.77711,0.47772,1.19047,0.55403,1.09564,0.004456,0.004456,0.004456
+58,10727.3,0.97573,0.51745,1.0384,0.88508,0.70101,0.77719,0.47793,1.1901,0.55516,1.09514,0.004357,0.004357,0.004357
+59,10912,0.9707,0.51362,1.03699,0.88518,0.70095,0.77727,0.47837,1.18975,0.55637,1.09477,0.004258,0.004258,0.004258
+60,11091,0.97294,0.51168,1.03019,0.88602,0.70021,0.7773,0.47829,1.18938,0.55786,1.0939,0.004159,0.004159,0.004159
+61,11271.2,0.96431,0.50752,1.03024,0.8858,0.70049,0.77743,0.47843,1.18919,0.55945,1.09348,0.00406,0.00406,0.00406
+62,11457.9,0.96048,0.50387,1.02617,0.88575,0.70071,0.77752,0.47859,1.18896,0.56128,1.0929,0.003961,0.003961,0.003961
+63,11638.1,0.96366,0.50504,1.02798,0.88578,0.70065,0.77762,0.47873,1.18858,0.56288,1.09247,0.003862,0.003862,0.003862
+64,11831.3,0.95279,0.50095,1.02788,0.887,0.70012,0.77775,0.47883,1.18834,0.5647,1.09199,0.003763,0.003763,0.003763
+65,12011.6,0.95632,0.50465,1.02619,0.88657,0.70037,0.77788,0.47902,1.18805,0.56673,1.0915,0.003664,0.003664,0.003664
+66,12191.8,0.95106,0.50043,1.02678,0.88667,0.70008,0.77812,0.47905,1.18765,0.56854,1.09105,0.003565,0.003565,0.003565
+67,12372.5,0.94817,0.49594,1.01932,0.88773,0.69927,0.77829,0.47946,1.18753,0.57081,1.09057,0.003466,0.003466,0.003466
+68,12550.3,0.93993,0.49447,1.01896,0.88802,0.69945,0.77851,0.4796,1.18746,0.57343,1.0902,0.003367,0.003367,0.003367
+69,12732.2,0.93885,0.4899,1.01675,0.88845,0.69863,0.77844,0.47962,1.18748,0.57644,1.08972,0.003268,0.003268,0.003268
+70,12912.5,0.93201,0.48602,1.01023,0.88858,0.69884,0.77858,0.47989,1.18749,0.57964,1.08908,0.003169,0.003169,0.003169
+71,13096,0.92598,0.48582,1.01246,0.88868,0.69868,0.77859,0.47986,1.18736,0.58303,1.08862,0.00307,0.00307,0.00307
+72,13273.9,0.9348,0.48887,1.01501,0.8886,0.69871,0.77872,0.47997,1.18724,0.58648,1.08833,0.002971,0.002971,0.002971
+73,13453,0.92405,0.48189,1.00894,0.88998,0.69763,0.77872,0.47996,1.18727,0.59013,1.08798,0.002872,0.002872,0.002872
+74,13632.4,0.92133,0.47897,1.00893,0.89041,0.69691,0.77854,0.48006,1.18729,0.5937,1.08765,0.002773,0.002773,0.002773
+75,13816.1,0.91142,0.47318,1.00481,0.88958,0.6972,0.77858,0.48014,1.18752,0.59783,1.0876,0.002674,0.002674,0.002674
+76,13992.1,0.895,0.46482,0.99772,0.89021,0.69668,0.77853,0.48027,1.18793,0.60221,1.08762,0.002575,0.002575,0.002575
+77,14169.6,0.90792,0.47003,1.00057,0.89075,0.69631,0.77852,0.48027,1.18762,0.60672,1.0873,0.002476,0.002476,0.002476
+78,14350.1,0.90378,0.47172,0.99997,0.89117,0.69587,0.77851,0.48041,1.1877,0.6117,1.08726,0.002377,0.002377,0.002377
+79,14540.3,0.8939,0.46708,0.99764,0.89145,0.69507,0.77833,0.48044,1.18798,0.61657,1.08742,0.002278,0.002278,0.002278
+80,14723.6,0.89308,0.46362,0.99824,0.89179,0.69466,0.7783,0.48061,1.1881,0.62174,1.08751,0.002179,0.002179,0.002179
+81,14906.4,0.88684,0.46007,0.9943,0.89224,0.69382,0.77804,0.48067,1.18805,0.62758,1.08746,0.00208,0.00208,0.00208
+82,15085.2,0.88371,0.4577,0.99028,0.8916,0.6936,0.77796,0.48063,1.18795,0.63366,1.08751,0.001981,0.001981,0.001981
+83,15267.9,0.88978,0.46142,0.99201,0.89276,0.69239,0.77776,0.48058,1.18808,0.64019,1.08757,0.001882,0.001882,0.001882
+84,15451.8,0.8812,0.45414,0.98956,0.89297,0.69128,0.77754,0.48059,1.1881,0.6477,1.08781,0.001783,0.001783,0.001783
+85,15641.1,0.87246,0.4496,0.98346,0.89233,0.69094,0.77718,0.48052,1.18829,0.65562,1.08814,0.001684,0.001684,0.001684
+86,15826.1,0.86224,0.44417,0.9804,0.89379,0.68916,0.77683,0.48035,1.18844,0.66432,1.08867,0.001585,0.001585,0.001585
+87,16003.8,0.85199,0.43534,0.97693,0.89411,0.68797,0.7762,0.48023,1.18867,0.67353,1.08918,0.001486,0.001486,0.001486
+88,16183.8,0.85148,0.43326,0.9764,0.89415,0.68722,0.7757,0.48006,1.18871,0.68347,1.08968,0.001387,0.001387,0.001387
+89,16358,0.84778,0.43267,0.97269,0.89517,0.68554,0.77516,0.47986,1.18874,0.69423,1.09026,0.001288,0.001288,0.001288
+90,16544,0.84233,0.42888,0.97236,0.89548,0.68427,0.77466,0.47962,1.18891,0.70566,1.09129,0.001189,0.001189,0.001189
+91,16716.6,0.84974,0.40314,0.9591,0.89571,0.68289,0.77381,0.47941,1.18907,0.71726,1.09203,0.00109,0.00109,0.00109
+92,16886.8,0.83691,0.39597,0.95354,0.89542,0.68165,0.77306,0.47901,1.18951,0.73036,1.09306,0.000991,0.000991,0.000991
+93,17056.8,0.8231,0.38844,0.95102,0.8964,0.67987,0.77215,0.47877,1.18962,0.74405,1.0942,0.000892,0.000892,0.000892
+94,17226.1,0.80022,0.37601,0.94034,0.89631,0.67827,0.77139,0.47841,1.19011,0.75807,1.09545,0.000793,0.000793,0.000793
+95,17395.5,0.79122,0.36958,0.93644,0.89638,0.67644,0.77047,0.47805,1.19072,0.77345,1.09684,0.000694,0.000694,0.000694
+96,17565.4,0.7872,0.37233,0.93242,0.89732,0.6745,0.76953,0.47769,1.19116,0.78847,1.0981,0.000595,0.000595,0.000595
+97,17735.2,0.76853,0.36041,0.92914,0.89751,0.67288,0.76871,0.47719,1.19181,0.8037,1.09946,0.000496,0.000496,0.000496
+98,17904.9,0.75684,0.35528,0.92359,0.89717,0.67125,0.76764,0.47671,1.19264,0.81875,1.1009,0.000397,0.000397,0.000397
+99,18074.5,0.7403,0.34486,0.91767,0.89804,0.66909,0.76676,0.47627,1.19359,0.83313,1.10239,0.000298,0.000298,0.000298
+100,18244.4,0.73338,0.34034,0.91289,0.89842,0.6672,0.76581,0.47575,1.19471,0.84792,1.10399,0.000199,0.000199,0.000199

head_detect_v0_s/threshold.json

@@ -0,0 +1,4 @@
+{
+    "f1_score": 0.78,
+    "threshold": 0.182
+}