Publish model head_detect_v0_l_yv11, on 2025-02-07 08:06:16 CST

.gitattributes

@@ -63,3 +63,5 @@ head_detect_v0_m_yv11/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
 head_detect_v0_m_yv11/results.png filter=lfs diff=lfs merge=lfs -text
 head_detect_v0_l_yv11/labels.jpg filter=lfs diff=lfs merge=lfs -text
 head_detect_v0_l_yv11/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
+head_detect_v0_l_yv11/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
+head_detect_v0_l_yv11/results.png filter=lfs diff=lfs merge=lfs -text

head_detect_v0_l_yv11/events.out.tfevents.1738833414.dbd7b05c6be69b3cad7adc4be45b0f3ae9bfa42b4e0c6f4f253fe7cb.4022117.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:36ead142bc9d0a315a668c28d2ccbf6a2ee253734e9997c02f0b6213197d2360
-size 572719
+oid sha256:ad6f04d4f0657d29ea33aa3a6d26c88f04e683ad10123641e725791593818bd1
+size 598761

head_detect_v0_l_yv11/model.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db8ef890ec9dc83d0928aa9fbf166350f1c9fedab7855edb2588fd64965fd5f3
+oid sha256:358dfacf75c91a49aac516349a30da210cbbb3ba0e1e5a5e0243e93cabc7ca97
 size 101390355

head_detect_v0_l_yv11/model.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a0ede3f6ca3783753c45ba097205907abda64123967cf35b4c7c6698d1e08ba
-size 102059572
+oid sha256:fb1d957eb5f7a4186bc1525ab7000aefd35207a1e7f6a0ec4051a4ca761ed7d0
+size 51259899

head_detect_v0_l_yv11/results.csv

@@ -60,3 +60,42 @@ epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),met
 59,24369.5,0.90396,0.45704,1.0655,0.89627,0.72728,0.80334,0.50433,1.18046,0.55869,1.2277,0.004258,0.004258,0.004258
 60,24764.6,0.91062,0.46131,1.06377,0.89592,0.72798,0.80374,0.50454,1.18087,0.55973,1.22743,0.004159,0.004159,0.004159
 61,25159.5,0.90118,0.45446,1.06512,0.89601,0.72803,0.80409,0.50483,1.18142,0.56015,1.22809,0.00406,0.00406,0.00406
+62,25554.8,0.89694,0.45415,1.05686,0.89639,0.72811,0.80433,0.50522,1.18178,0.56108,1.22799,0.003961,0.003961,0.003961
+63,25950.3,0.89135,0.45004,1.05942,0.89625,0.72826,0.80451,0.50541,1.18188,0.56208,1.22781,0.003862,0.003862,0.003862
+64,26344.6,0.88666,0.45069,1.05882,0.89691,0.72801,0.80473,0.50574,1.18181,0.56339,1.22724,0.003763,0.003763,0.003763
+65,26739,0.88502,0.44973,1.05898,0.89618,0.72865,0.8052,0.50615,1.18187,0.56391,1.22793,0.003664,0.003664,0.003664
+66,27134,0.87806,0.44751,1.05817,0.89734,0.72833,0.80551,0.50657,1.18196,0.56491,1.22871,0.003565,0.003565,0.003565
+67,27529,0.87979,0.44261,1.05202,0.8971,0.72917,0.80582,0.50672,1.18255,0.56597,1.22924,0.003466,0.003466,0.003466
+68,27924,0.8695,0.43767,1.04939,0.89705,0.72965,0.80617,0.50694,1.18315,0.56763,1.22968,0.003367,0.003367,0.003367
+69,28319,0.8684,0.43525,1.0438,0.89677,0.73038,0.80672,0.50711,1.18337,0.56795,1.22945,0.003268,0.003268,0.003268
+70,28714.1,0.86354,0.43437,1.04579,0.89757,0.73058,0.80706,0.50751,1.18399,0.56761,1.2303,0.003169,0.003169,0.003169
+71,29108.9,0.86147,0.4337,1.04366,0.89811,0.73049,0.80746,0.50804,1.1845,0.56845,1.23045,0.00307,0.00307,0.00307
+72,29503.3,0.86297,0.43515,1.0407,0.89825,0.73097,0.80765,0.50779,1.18561,0.56934,1.23097,0.002971,0.002971,0.002971
+73,29899.4,0.85266,0.42681,1.02846,0.89894,0.73079,0.80821,0.50797,1.18636,0.57041,1.23017,0.002872,0.002872,0.002872
+74,30296.3,0.84572,0.42315,1.03075,0.89894,0.7307,0.80835,0.50849,1.18688,0.57276,1.22956,0.002773,0.002773,0.002773
+75,30698.4,0.83992,0.41912,1.03445,0.89943,0.73127,0.80849,0.5085,1.18688,0.57424,1.23031,0.002674,0.002674,0.002674
+76,31108.2,0.82938,0.41498,1.03004,0.89928,0.7317,0.80852,0.50872,1.18707,0.57624,1.23064,0.002575,0.002575,0.002575
+77,31503,0.8344,0.41752,1.02763,0.89879,0.73234,0.80895,0.50898,1.18702,0.57761,1.23075,0.002476,0.002476,0.002476
+78,31898.6,0.82473,0.41333,1.02245,0.89874,0.73257,0.80933,0.50922,1.1874,0.58069,1.23073,0.002377,0.002377,0.002377
+79,32297.4,0.81542,0.40803,1.01692,0.89902,0.73243,0.8096,0.50946,1.18821,0.58315,1.23077,0.002278,0.002278,0.002278
+80,32692.5,0.81943,0.40773,1.01759,0.89923,0.73255,0.80979,0.50974,1.18929,0.58615,1.23094,0.002179,0.002179,0.002179
+81,33095.6,0.80948,0.4026,1.01362,0.89964,0.73206,0.80984,0.50975,1.1897,0.59006,1.2305,0.00208,0.00208,0.00208
+82,33502.7,0.80686,0.40325,1.00782,0.89935,0.73217,0.80986,0.50992,1.19063,0.59378,1.23071,0.001981,0.001981,0.001981
+83,33899.8,0.80602,0.40159,1.01375,0.89973,0.73221,0.81013,0.51021,1.19141,0.5971,1.23161,0.001882,0.001882,0.001882
+84,34296.5,0.80265,0.39747,1.01144,0.89975,0.73184,0.8102,0.51029,1.19231,0.60197,1.23289,0.001783,0.001783,0.001783
+85,34694.7,0.79404,0.39362,1.00168,0.90082,0.73095,0.81029,0.51055,1.19354,0.60763,1.23347,0.001684,0.001684,0.001684
+86,35096.5,0.78288,0.38704,0.99661,0.90026,0.73124,0.81034,0.51032,1.19451,0.61221,1.23415,0.001585,0.001585,0.001585
+87,35497.4,0.77098,0.37995,0.99706,0.90089,0.73063,0.81043,0.51034,1.19533,0.61758,1.23569,0.001486,0.001486,0.001486
+88,35892.8,0.77178,0.38002,0.99354,0.90118,0.73042,0.81064,0.51041,1.19605,0.62245,1.23692,0.001387,0.001387,0.001387
+89,36289,0.76041,0.37458,0.98532,0.90161,0.72985,0.81052,0.51049,1.19709,0.62786,1.23766,0.001288,0.001288,0.001288
+90,36684.2,0.75019,0.36873,0.97735,0.90191,0.72971,0.81058,0.51068,1.19805,0.63393,1.23713,0.001189,0.001189,0.001189
+91,37081.8,0.76871,0.34829,0.99043,0.90243,0.7286,0.81034,0.51077,1.19838,0.63913,1.23763,0.00109,0.00109,0.00109
+92,37475.6,0.75605,0.34383,0.98217,0.90226,0.72872,0.81049,0.5109,1.19891,0.6436,1.23887,0.000991,0.000991,0.000991
+93,37871.3,0.73799,0.33399,0.97294,0.90263,0.72791,0.81034,0.51077,1.19966,0.64931,1.23985,0.000892,0.000892,0.000892
+94,38266.4,0.71674,0.32407,0.96149,0.90318,0.72752,0.81045,0.51059,1.20052,0.65301,1.24054,0.000793,0.000793,0.000793
+95,38661.8,0.70575,0.31865,0.9548,0.90311,0.72769,0.81044,0.51073,1.20163,0.65771,1.2421,0.000694,0.000694,0.000694
+96,39055.7,0.69994,0.3188,0.95182,0.90324,0.72752,0.81053,0.51087,1.20248,0.66226,1.24414,0.000595,0.000595,0.000595
+97,39449.1,0.68177,0.30788,0.93917,0.90434,0.72657,0.81035,0.51083,1.20372,0.66711,1.24586,0.000496,0.000496,0.000496
+98,39843.7,0.66676,0.30021,0.93596,0.90467,0.72639,0.8105,0.51077,1.20468,0.6722,1.2474,0.000397,0.000397,0.000397
+99,40238.6,0.64944,0.29223,0.92628,0.9043,0.7266,0.81033,0.51059,1.20593,0.67737,1.24931,0.000298,0.000298,0.000298
+100,40633.8,0.63588,0.28587,0.92339,0.90347,0.72658,0.81028,0.51054,1.20678,0.68247,1.25151,0.000199,0.000199,0.000199

head_detect_v0_l_yv11/threshold.json

@@ -0,0 +1,4 @@
+{
+    "f1_score": 0.81,
+    "threshold": 0.199
+}