narugo commited on
Commit
30c925d
1 Parent(s): 2706e38

Publish model head_detect_v1.6_s, on 2024-10-04 17:59:10 CST

Browse files
head_detect_v1.6_s/F1_curve.png ADDED
head_detect_v1.6_s/PR_curve.png ADDED
head_detect_v1.6_s/P_curve.png ADDED
head_detect_v1.6_s/R_curve.png ADDED
head_detect_v1.6_s/confusion_matrix.png ADDED
head_detect_v1.6_s/confusion_matrix_normalized.png ADDED
head_detect_v1.6_s/events.out.tfevents.1728016907.c90f959e71b857ee5e9e4c6d2ab74903214e611a77ce805ae0fcd202.1978.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5341e0686a9b8841f9a5a6a56caf824e6f4c4f3cc2f8fbb7576734bc44da111c
3
+ size 34405852
head_detect_v1.6_s/labels.jpg ADDED
head_detect_v1.6_s/labels.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ [
2
+ "head"
3
+ ]
head_detect_v1.6_s/labels_correlogram.jpg ADDED
head_detect_v1.6_s/model.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fe0b41218bd70ded5c784f3340bdfd3fd0b23f6dafe9a0faf45623b25da7565
3
+ size 44585386
head_detect_v1.6_s/model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5264bf776cd805a70f68936ac6f95c56319aa1d76230691e5d0a973ae339648c
3
+ size 22551517
head_detect_v1.6_s/model_artifacts.json ADDED
@@ -0,0 +1 @@
 
 
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": 16, "imgsz": 640}, "ultralytics_version": "8.0.196", "model_type": "yolov8"}
head_detect_v1.6_s/results.csv ADDED
@@ -0,0 +1,101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch, 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
2
+ 1, 1.5099, 1.3626, 1.4815, 0.90773, 0.83711, 0.91544, 0.6827, 0.92181, 0.61396, 1.053, 0.0033318, 0.0033318, 0.0033318
3
+ 2, 1.3545, 1.0469, 1.3397, 0.92285, 0.82392, 0.91316, 0.68039, 0.93017, 0.63185, 1.06, 0.0065992, 0.0065992, 0.0065992
4
+ 3, 1.3877, 1.1035, 1.3682, 0.91216, 0.80826, 0.89628, 0.66243, 0.96042, 0.69753, 1.1008, 0.0098005, 0.0098005, 0.0098005
5
+ 4, 1.3988, 1.1214, 1.3828, 0.91103, 0.81185, 0.89946, 0.6772, 0.91319, 0.68636, 1.0804, 0.009703, 0.009703, 0.009703
6
+ 5, 1.3401, 1.0446, 1.3453, 0.92342, 0.83555, 0.91687, 0.69892, 0.88163, 0.6174, 1.0465, 0.009703, 0.009703, 0.009703
7
+ 6, 1.2928, 0.98778, 1.3148, 0.93326, 0.84503, 0.9267, 0.71804, 0.84266, 0.57344, 1.0326, 0.009604, 0.009604, 0.009604
8
+ 7, 1.2688, 0.9554, 1.3, 0.93179, 0.85434, 0.92947, 0.72742, 0.81968, 0.55204, 1.0185, 0.009505, 0.009505, 0.009505
9
+ 8, 1.2451, 0.92418, 1.2843, 0.93785, 0.85956, 0.93489, 0.73487, 0.80454, 0.52873, 1.0137, 0.009406, 0.009406, 0.009406
10
+ 9, 1.2306, 0.90553, 1.2743, 0.9382, 0.87041, 0.93832, 0.74237, 0.79213, 0.50326, 1.0032, 0.009307, 0.009307, 0.009307
11
+ 10, 1.2071, 0.87879, 1.2608, 0.9359, 0.8737, 0.94264, 0.74589, 0.7853, 0.4956, 0.99015, 0.009208, 0.009208, 0.009208
12
+ 11, 1.1933, 0.86686, 1.2505, 0.94301, 0.87125, 0.94269, 0.75087, 0.77158, 0.48039, 0.98753, 0.009109, 0.009109, 0.009109
13
+ 12, 1.1847, 0.84936, 1.2433, 0.94487, 0.87271, 0.94458, 0.75355, 0.76264, 0.47994, 0.98395, 0.00901, 0.00901, 0.00901
14
+ 13, 1.1762, 0.84136, 1.2351, 0.94605, 0.87867, 0.94663, 0.75863, 0.7574, 0.46728, 0.97888, 0.008911, 0.008911, 0.008911
15
+ 14, 1.1606, 0.82801, 1.2299, 0.94499, 0.88043, 0.94893, 0.7588, 0.75326, 0.46467, 0.98074, 0.008812, 0.008812, 0.008812
16
+ 15, 1.1596, 0.82609, 1.2259, 0.94438, 0.87966, 0.95008, 0.76282, 0.75021, 0.45432, 0.974, 0.008713, 0.008713, 0.008713
17
+ 16, 1.1471, 0.81345, 1.2202, 0.94429, 0.88624, 0.95105, 0.76542, 0.74465, 0.4484, 0.97557, 0.008614, 0.008614, 0.008614
18
+ 17, 1.1419, 0.80093, 1.2164, 0.94131, 0.88782, 0.95054, 0.76673, 0.73599, 0.44155, 0.96755, 0.008515, 0.008515, 0.008515
19
+ 18, 1.1374, 0.80045, 1.2158, 0.94702, 0.88861, 0.95334, 0.7677, 0.73742, 0.43805, 0.97009, 0.008416, 0.008416, 0.008416
20
+ 19, 1.127, 0.78903, 1.2071, 0.94755, 0.88823, 0.95427, 0.76918, 0.73439, 0.43279, 0.96521, 0.008317, 0.008317, 0.008317
21
+ 20, 1.1253, 0.78589, 1.2066, 0.94698, 0.8903, 0.95495, 0.77162, 0.72998, 0.43002, 0.96333, 0.008218, 0.008218, 0.008218
22
+ 21, 1.1198, 0.78326, 1.2036, 0.94261, 0.89525, 0.95514, 0.77226, 0.72669, 0.42744, 0.96062, 0.008119, 0.008119, 0.008119
23
+ 22, 1.1124, 0.77142, 1.1968, 0.94993, 0.88838, 0.95538, 0.77324, 0.7259, 0.4246, 0.9597, 0.00802, 0.00802, 0.00802
24
+ 23, 1.1097, 0.76693, 1.1905, 0.95006, 0.89144, 0.95546, 0.77318, 0.72503, 0.4221, 0.95816, 0.007921, 0.007921, 0.007921
25
+ 24, 1.104, 0.76522, 1.1951, 0.94536, 0.89304, 0.9556, 0.77391, 0.72394, 0.42123, 0.95871, 0.007822, 0.007822, 0.007822
26
+ 25, 1.1016, 0.75597, 1.1894, 0.9472, 0.89421, 0.95602, 0.77403, 0.72368, 0.41968, 0.95887, 0.007723, 0.007723, 0.007723
27
+ 26, 1.0951, 0.75511, 1.1867, 0.94201, 0.89671, 0.95577, 0.77435, 0.72245, 0.41821, 0.95698, 0.007624, 0.007624, 0.007624
28
+ 27, 1.0962, 0.75239, 1.1896, 0.94601, 0.89411, 0.95562, 0.77499, 0.72193, 0.41688, 0.95694, 0.007525, 0.007525, 0.007525
29
+ 28, 1.0887, 0.74565, 1.1825, 0.94634, 0.89396, 0.95567, 0.77505, 0.72084, 0.41566, 0.95626, 0.007426, 0.007426, 0.007426
30
+ 29, 1.0884, 0.74549, 1.1783, 0.94842, 0.8927, 0.95618, 0.7753, 0.71971, 0.41386, 0.95532, 0.007327, 0.007327, 0.007327
31
+ 30, 1.0845, 0.74147, 1.1761, 0.95141, 0.89071, 0.95631, 0.77593, 0.71906, 0.41286, 0.95483, 0.007228, 0.007228, 0.007228
32
+ 31, 1.0799, 0.73519, 1.1771, 0.94788, 0.8941, 0.95669, 0.77684, 0.71798, 0.41111, 0.95416, 0.007129, 0.007129, 0.007129
33
+ 32, 1.0747, 0.72948, 1.1674, 0.94786, 0.89495, 0.95724, 0.77731, 0.71726, 0.40959, 0.95365, 0.00703, 0.00703, 0.00703
34
+ 33, 1.0744, 0.73093, 1.1699, 0.94821, 0.89396, 0.95733, 0.77746, 0.71724, 0.40822, 0.95377, 0.006931, 0.006931, 0.006931
35
+ 34, 1.0699, 0.72345, 1.1697, 0.94813, 0.8944, 0.95726, 0.77818, 0.71669, 0.40768, 0.95321, 0.006832, 0.006832, 0.006832
36
+ 35, 1.0663, 0.72143, 1.1622, 0.94631, 0.89602, 0.95771, 0.77835, 0.71643, 0.40705, 0.95254, 0.006733, 0.006733, 0.006733
37
+ 36, 1.0641, 0.71803, 1.1618, 0.94515, 0.89725, 0.95782, 0.77854, 0.71608, 0.40613, 0.9522, 0.006634, 0.006634, 0.006634
38
+ 37, 1.0576, 0.71148, 1.1601, 0.94665, 0.89664, 0.95823, 0.77898, 0.71609, 0.40586, 0.95199, 0.006535, 0.006535, 0.006535
39
+ 38, 1.061, 0.71615, 1.1639, 0.94556, 0.89786, 0.95826, 0.77913, 0.71554, 0.40519, 0.95153, 0.006436, 0.006436, 0.006436
40
+ 39, 1.0573, 0.71013, 1.1587, 0.94692, 0.89755, 0.95811, 0.7791, 0.71528, 0.40418, 0.95113, 0.006337, 0.006337, 0.006337
41
+ 40, 1.05, 0.70946, 1.1563, 0.9424, 0.9019, 0.95822, 0.77913, 0.71506, 0.4038, 0.95088, 0.006238, 0.006238, 0.006238
42
+ 41, 1.0457, 0.69997, 1.153, 0.9431, 0.90218, 0.95841, 0.77934, 0.71497, 0.40323, 0.95045, 0.006139, 0.006139, 0.006139
43
+ 42, 1.0485, 0.70129, 1.1534, 0.94388, 0.90214, 0.95867, 0.77997, 0.7147, 0.40255, 0.95005, 0.00604, 0.00604, 0.00604
44
+ 43, 1.0446, 0.69979, 1.1523, 0.94285, 0.90306, 0.9587, 0.78001, 0.71428, 0.4016, 0.9496, 0.005941, 0.005941, 0.005941
45
+ 44, 1.0425, 0.69722, 1.1539, 0.9435, 0.90245, 0.95904, 0.78028, 0.71424, 0.40085, 0.94967, 0.005842, 0.005842, 0.005842
46
+ 45, 1.0369, 0.6928, 1.1509, 0.94734, 0.89992, 0.95916, 0.78019, 0.71395, 0.40017, 0.94954, 0.005743, 0.005743, 0.005743
47
+ 46, 1.0389, 0.69463, 1.1512, 0.94809, 0.89939, 0.95927, 0.78047, 0.71373, 0.39943, 0.94928, 0.005644, 0.005644, 0.005644
48
+ 47, 1.035, 0.68771, 1.1446, 0.94638, 0.9014, 0.95922, 0.78072, 0.71313, 0.39872, 0.94881, 0.005545, 0.005545, 0.005545
49
+ 48, 1.0314, 0.68378, 1.1393, 0.94763, 0.90084, 0.95928, 0.78107, 0.713, 0.39826, 0.9485, 0.005446, 0.005446, 0.005446
50
+ 49, 1.0278, 0.68419, 1.1417, 0.94743, 0.90145, 0.95963, 0.78172, 0.71284, 0.39736, 0.94823, 0.005347, 0.005347, 0.005347
51
+ 50, 1.0248, 0.67753, 1.1402, 0.94809, 0.90084, 0.95986, 0.78215, 0.71262, 0.39661, 0.94791, 0.005248, 0.005248, 0.005248
52
+ 51, 1.0233, 0.67927, 1.1405, 0.94827, 0.9013, 0.95966, 0.78216, 0.71241, 0.39607, 0.94765, 0.005149, 0.005149, 0.005149
53
+ 52, 1.0215, 0.67422, 1.1366, 0.94852, 0.90176, 0.9599, 0.78218, 0.71221, 0.39519, 0.94744, 0.00505, 0.00505, 0.00505
54
+ 53, 1.0159, 0.67217, 1.1347, 0.94894, 0.90077, 0.95997, 0.7822, 0.71226, 0.39428, 0.94729, 0.004951, 0.004951, 0.004951
55
+ 54, 1.0178, 0.66916, 1.1347, 0.94947, 0.90077, 0.96009, 0.78216, 0.7121, 0.39369, 0.94708, 0.004852, 0.004852, 0.004852
56
+ 55, 1.0123, 0.66805, 1.1318, 0.95082, 0.89992, 0.95973, 0.78228, 0.71182, 0.39315, 0.94695, 0.004753, 0.004753, 0.004753
57
+ 56, 1.0109, 0.66445, 1.1358, 0.95284, 0.89898, 0.95971, 0.78233, 0.71173, 0.39247, 0.94726, 0.004654, 0.004654, 0.004654
58
+ 57, 1.0088, 0.66081, 1.1276, 0.95388, 0.89814, 0.95997, 0.78239, 0.71144, 0.39169, 0.94702, 0.004555, 0.004555, 0.004555
59
+ 58, 1.0015, 0.65883, 1.1241, 0.95402, 0.89908, 0.95969, 0.78258, 0.71113, 0.39105, 0.94659, 0.004456, 0.004456, 0.004456
60
+ 59, 1.0026, 0.65924, 1.1311, 0.95473, 0.89893, 0.95976, 0.78259, 0.71066, 0.39054, 0.94643, 0.004357, 0.004357, 0.004357
61
+ 60, 0.9986, 0.65495, 1.126, 0.95467, 0.89853, 0.95981, 0.78326, 0.71025, 0.38973, 0.9462, 0.004258, 0.004258, 0.004258
62
+ 61, 0.99223, 0.65073, 1.1226, 0.95419, 0.89954, 0.96021, 0.7833, 0.7101, 0.38905, 0.94604, 0.004159, 0.004159, 0.004159
63
+ 62, 0.99504, 0.65102, 1.1263, 0.95436, 0.89985, 0.96017, 0.78345, 0.71017, 0.3882, 0.94616, 0.00406, 0.00406, 0.00406
64
+ 63, 0.99033, 0.64398, 1.1172, 0.95652, 0.89822, 0.96044, 0.78338, 0.71026, 0.38767, 0.94603, 0.003961, 0.003961, 0.003961
65
+ 64, 0.99025, 0.64301, 1.1161, 0.95678, 0.89809, 0.96025, 0.78372, 0.71019, 0.3867, 0.94581, 0.003862, 0.003862, 0.003862
66
+ 65, 0.98635, 0.63838, 1.1128, 0.95455, 0.90084, 0.96047, 0.78391, 0.71032, 0.38632, 0.94545, 0.003763, 0.003763, 0.003763
67
+ 66, 0.97857, 0.63431, 1.1146, 0.95455, 0.90069, 0.96064, 0.78407, 0.70991, 0.38579, 0.94498, 0.003664, 0.003664, 0.003664
68
+ 67, 0.98298, 0.63787, 1.1123, 0.9551, 0.90107, 0.96087, 0.78348, 0.7099, 0.3853, 0.9448, 0.003565, 0.003565, 0.003565
69
+ 68, 0.98106, 0.63267, 1.1156, 0.95571, 0.90092, 0.9609, 0.78422, 0.70999, 0.3847, 0.94474, 0.003466, 0.003466, 0.003466
70
+ 69, 0.9758, 0.63092, 1.1112, 0.9563, 0.90015, 0.96075, 0.78467, 0.70949, 0.3839, 0.94451, 0.003367, 0.003367, 0.003367
71
+ 70, 0.97096, 0.62598, 1.1087, 0.95654, 0.90016, 0.96087, 0.78459, 0.70946, 0.3828, 0.94444, 0.003268, 0.003268, 0.003268
72
+ 71, 0.96858, 0.62256, 1.1066, 0.95268, 0.90283, 0.96101, 0.78493, 0.70937, 0.38223, 0.94417, 0.003169, 0.003169, 0.003169
73
+ 72, 0.96479, 0.61879, 1.1005, 0.95387, 0.90191, 0.96109, 0.7852, 0.70938, 0.38166, 0.94387, 0.00307, 0.00307, 0.00307
74
+ 73, 0.96335, 0.61839, 1.1022, 0.95729, 0.89962, 0.96106, 0.78502, 0.70945, 0.38115, 0.94369, 0.002971, 0.002971, 0.002971
75
+ 74, 0.96356, 0.61704, 1.0998, 0.95574, 0.9014, 0.96119, 0.78513, 0.7094, 0.38089, 0.9434, 0.002872, 0.002872, 0.002872
76
+ 75, 0.95883, 0.6131, 1.1038, 0.95533, 0.90176, 0.96113, 0.78518, 0.70934, 0.3802, 0.94317, 0.002773, 0.002773, 0.002773
77
+ 76, 0.95183, 0.60634, 1.0986, 0.95418, 0.9026, 0.96121, 0.78521, 0.70935, 0.37948, 0.94311, 0.002674, 0.002674, 0.002674
78
+ 77, 0.95187, 0.60529, 1.0942, 0.95297, 0.90322, 0.96117, 0.78552, 0.70928, 0.37872, 0.94284, 0.002575, 0.002575, 0.002575
79
+ 78, 0.9503, 0.60412, 1.0885, 0.9531, 0.90367, 0.96125, 0.78558, 0.7091, 0.3782, 0.9422, 0.002476, 0.002476, 0.002476
80
+ 79, 0.94479, 0.59711, 1.0896, 0.95349, 0.90375, 0.96144, 0.78572, 0.7092, 0.37749, 0.94194, 0.002377, 0.002377, 0.002377
81
+ 80, 0.94134, 0.59672, 1.0873, 0.95274, 0.90464, 0.9616, 0.78536, 0.70941, 0.37736, 0.94184, 0.002278, 0.002278, 0.002278
82
+ 81, 0.94012, 0.58929, 1.0861, 0.95289, 0.90428, 0.96158, 0.78584, 0.70966, 0.37674, 0.94177, 0.002179, 0.002179, 0.002179
83
+ 82, 0.9347, 0.59102, 1.0888, 0.95384, 0.90355, 0.96163, 0.78605, 0.70965, 0.37646, 0.94153, 0.00208, 0.00208, 0.00208
84
+ 83, 0.92879, 0.58731, 1.0918, 0.95425, 0.90359, 0.9617, 0.78578, 0.70984, 0.37636, 0.94175, 0.001981, 0.001981, 0.001981
85
+ 84, 0.92889, 0.58451, 1.0875, 0.95498, 0.9034, 0.96168, 0.78586, 0.70987, 0.3763, 0.94179, 0.001882, 0.001882, 0.001882
86
+ 85, 0.92808, 0.58243, 1.0839, 0.95342, 0.90443, 0.96174, 0.78586, 0.70989, 0.37598, 0.94167, 0.001783, 0.001783, 0.001783
87
+ 86, 0.91958, 0.57276, 1.0767, 0.95364, 0.90419, 0.96188, 0.78586, 0.71018, 0.37556, 0.94175, 0.001684, 0.001684, 0.001684
88
+ 87, 0.91816, 0.57328, 1.0742, 0.95366, 0.90451, 0.96197, 0.78602, 0.71042, 0.37517, 0.94169, 0.001585, 0.001585, 0.001585
89
+ 88, 0.91275, 0.56672, 1.0731, 0.95288, 0.90489, 0.96211, 0.78594, 0.71054, 0.37506, 0.9417, 0.001486, 0.001486, 0.001486
90
+ 89, 0.91162, 0.56783, 1.0724, 0.95166, 0.90616, 0.96214, 0.78599, 0.71061, 0.37483, 0.9415, 0.001387, 0.001387, 0.001387
91
+ 90, 0.90873, 0.56399, 1.0687, 0.95263, 0.90512, 0.96212, 0.78639, 0.71076, 0.37443, 0.94121, 0.001288, 0.001288, 0.001288
92
+ 91, 0.89815, 0.47293, 1.0619, 0.95194, 0.90703, 0.96231, 0.78625, 0.71077, 0.37418, 0.94096, 0.001189, 0.001189, 0.001189
93
+ 92, 0.88774, 0.46646, 1.0611, 0.95333, 0.90587, 0.96241, 0.78688, 0.71081, 0.37375, 0.94095, 0.00109, 0.00109, 0.00109
94
+ 93, 0.88017, 0.46024, 1.0543, 0.955, 0.90428, 0.96233, 0.78666, 0.71051, 0.37323, 0.94062, 0.000991, 0.000991, 0.000991
95
+ 94, 0.87209, 0.45325, 1.0493, 0.95479, 0.90482, 0.96216, 0.78652, 0.71056, 0.37274, 0.9407, 0.000892, 0.000892, 0.000892
96
+ 95, 0.86481, 0.45005, 1.0494, 0.95627, 0.90438, 0.96209, 0.78646, 0.71064, 0.37256, 0.94068, 0.000793, 0.000793, 0.000793
97
+ 96, 0.85949, 0.44747, 1.0479, 0.95616, 0.90497, 0.96212, 0.78661, 0.71054, 0.37199, 0.94082, 0.000694, 0.000694, 0.000694
98
+ 97, 0.85573, 0.4439, 1.0453, 0.95656, 0.90459, 0.96211, 0.78659, 0.71063, 0.37156, 0.94113, 0.000595, 0.000595, 0.000595
99
+ 98, 0.8497, 0.43925, 1.0418, 0.95623, 0.90482, 0.96207, 0.78666, 0.7105, 0.37134, 0.94107, 0.000496, 0.000496, 0.000496
100
+ 99, 0.84647, 0.43609, 1.0371, 0.95629, 0.9048, 0.96211, 0.78687, 0.71091, 0.37104, 0.94149, 0.000397, 0.000397, 0.000397
101
+ 100, 0.84114, 0.43123, 1.0311, 0.95668, 0.90451, 0.96207, 0.78663, 0.71108, 0.37078, 0.94147, 0.000298, 0.000298, 0.000298
head_detect_v1.6_s/results.png ADDED
head_detect_v1.6_s/threshold.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "f1_score": 0.93,
3
+ "threshold": 0.381
4
+ }