Publish model head_detect_v0.5_s, on 2024-09-18 03:59:23 UTC
Browse files- head_detect_v0.5_s/F1_curve.png +0 -0
- head_detect_v0.5_s/PR_curve.png +0 -0
- head_detect_v0.5_s/P_curve.png +0 -0
- head_detect_v0.5_s/R_curve.png +0 -0
- head_detect_v0.5_s/confusion_matrix.png +0 -0
- head_detect_v0.5_s/confusion_matrix_normalized.png +0 -0
- head_detect_v0.5_s/events.out.tfevents.1726592197.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1939367.0 +3 -0
- head_detect_v0.5_s/labels.jpg +0 -0
- head_detect_v0.5_s/labels_correlogram.jpg +0 -0
- head_detect_v0.5_s/model.onnx +3 -0
- head_detect_v0.5_s/model.pt +3 -0
- head_detect_v0.5_s/results.csv +101 -0
- head_detect_v0.5_s/results.png +0 -0
head_detect_v0.5_s/F1_curve.png
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head_detect_v0.5_s/PR_curve.png
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head_detect_v0.5_s/P_curve.png
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head_detect_v0.5_s/R_curve.png
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head_detect_v0.5_s/confusion_matrix.png
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head_detect_v0.5_s/confusion_matrix_normalized.png
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head_detect_v0.5_s/events.out.tfevents.1726592197.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1939367.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:825c0525d85d800a7cb0b354c3f7e32646040e506bfe054026f8b7ae78c3a49b
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size 43734668
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head_detect_v0.5_s/labels.jpg
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head_detect_v0.5_s/labels_correlogram.jpg
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head_detect_v0.5_s/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:345ec7870d519841aa153f1a6383922aa6565c7cce40795e7019bdaea9b96a2a
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size 44585336
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head_detect_v0.5_s/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:57bbd7d6808d0209eb3ba0c61753779dbde27e7ee9b1c9a2b6af8e2cbe957846
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size 22511342
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head_detect_v0.5_s/results.csv
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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 |
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1, 1.3752, 1.3334, 1.4638, 0.86079, 0.82581, 0.88828, 0.63583, 0.99365, 0.71464, 1.1341, 0.0033321, 0.0033321, 0.0033321
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3 |
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2, 1.2425, 1.0194, 1.3361, 0.90664, 0.81822, 0.90874, 0.65522, 0.99073, 0.6766, 1.1539, 0.0065995, 0.0065995, 0.0065995
|
4 |
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3, 1.2985, 1.1057, 1.3814, 0.87789, 0.80462, 0.8857, 0.62383, 1.0356, 0.77425, 1.1965, 0.0098008, 0.0098008, 0.0098008
|
5 |
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4, 1.3001, 1.1165, 1.3914, 0.89078, 0.81715, 0.90256, 0.66364, 0.95752, 0.68183, 1.1433, 0.009703, 0.009703, 0.009703
|
6 |
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5, 1.2467, 1.0277, 1.3574, 0.902, 0.83801, 0.91828, 0.68213, 0.92103, 0.63453, 1.1257, 0.009703, 0.009703, 0.009703
|
7 |
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6, 1.2103, 0.96851, 1.3277, 0.91576, 0.8503, 0.92387, 0.6969, 0.88286, 0.60463, 1.1002, 0.009604, 0.009604, 0.009604
|
8 |
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7, 1.1829, 0.92499, 1.3042, 0.91732, 0.86224, 0.9338, 0.71526, 0.84982, 0.56407, 1.077, 0.009505, 0.009505, 0.009505
|
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8, 1.1603, 0.90225, 1.2907, 0.93491, 0.85412, 0.9379, 0.72362, 0.83045, 0.539, 1.0618, 0.009406, 0.009406, 0.009406
|
10 |
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|
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18 |
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19 |
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25 |
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26 |
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27 |
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81 |
+
80, 0.7912, 0.50535, 1.0561, 0.92817, 0.91247, 0.95718, 0.77345, 0.7328, 0.40185, 0.99482, 0.002278, 0.002278, 0.002278
|
82 |
+
81, 0.78974, 0.50424, 1.0517, 0.92836, 0.91265, 0.95732, 0.77395, 0.73301, 0.40142, 0.99517, 0.002179, 0.002179, 0.002179
|
83 |
+
82, 0.78424, 0.49782, 1.0471, 0.92864, 0.91097, 0.95717, 0.77413, 0.73269, 0.40084, 0.99493, 0.00208, 0.00208, 0.00208
|
84 |
+
83, 0.77987, 0.49537, 1.0451, 0.93215, 0.9077, 0.95749, 0.77455, 0.73274, 0.4004, 0.9948, 0.001981, 0.001981, 0.001981
|
85 |
+
84, 0.77256, 0.48873, 1.0411, 0.93109, 0.9082, 0.95758, 0.77481, 0.73307, 0.40052, 0.99457, 0.001882, 0.001882, 0.001882
|
86 |
+
85, 0.76817, 0.48632, 1.0398, 0.93874, 0.90367, 0.95699, 0.77446, 0.73311, 0.39979, 0.99428, 0.001783, 0.001783, 0.001783
|
87 |
+
86, 0.76091, 0.47924, 1.0362, 0.93745, 0.90443, 0.95696, 0.77479, 0.73299, 0.39889, 0.9941, 0.001684, 0.001684, 0.001684
|
88 |
+
87, 0.75967, 0.47914, 1.0377, 0.93908, 0.9034, 0.95697, 0.77514, 0.73323, 0.39858, 0.9942, 0.001585, 0.001585, 0.001585
|
89 |
+
88, 0.75356, 0.47465, 1.0323, 0.92824, 0.91097, 0.95728, 0.77478, 0.73382, 0.39831, 0.99457, 0.001486, 0.001486, 0.001486
|
90 |
+
89, 0.74865, 0.46905, 1.0315, 0.92739, 0.91197, 0.95747, 0.77475, 0.73411, 0.39849, 0.99477, 0.001387, 0.001387, 0.001387
|
91 |
+
90, 0.73941, 0.46474, 1.0243, 0.92815, 0.91197, 0.95726, 0.77476, 0.73474, 0.39826, 0.99486, 0.001288, 0.001288, 0.001288
|
92 |
+
91, 0.69747, 0.355, 0.99651, 0.9295, 0.91189, 0.95713, 0.77451, 0.73458, 0.39797, 0.99468, 0.001189, 0.001189, 0.001189
|
93 |
+
92, 0.68247, 0.34675, 0.99135, 0.93208, 0.90845, 0.95668, 0.77464, 0.73454, 0.39837, 0.99446, 0.00109, 0.00109, 0.00109
|
94 |
+
93, 0.66921, 0.33888, 0.98185, 0.93334, 0.90719, 0.95644, 0.77377, 0.7346, 0.39877, 0.99455, 0.000991, 0.000991, 0.000991
|
95 |
+
94, 0.66319, 0.33529, 0.98062, 0.93547, 0.90619, 0.9565, 0.77385, 0.73466, 0.39914, 0.99467, 0.000892, 0.000892, 0.000892
|
96 |
+
95, 0.65511, 0.33144, 0.97757, 0.93478, 0.90669, 0.95621, 0.77337, 0.73452, 0.39938, 0.99459, 0.000793, 0.000793, 0.000793
|
97 |
+
96, 0.64594, 0.32467, 0.97129, 0.93342, 0.90669, 0.95575, 0.77332, 0.73513, 0.40017, 0.99559, 0.000694, 0.000694, 0.000694
|
98 |
+
97, 0.63795, 0.31974, 0.96816, 0.93207, 0.9076, 0.9555, 0.7733, 0.73542, 0.4007, 0.99612, 0.000595, 0.000595, 0.000595
|
99 |
+
98, 0.629, 0.31613, 0.966, 0.93047, 0.90882, 0.95506, 0.77321, 0.73558, 0.40107, 0.99669, 0.000496, 0.000496, 0.000496
|
100 |
+
99, 0.62462, 0.313, 0.96419, 0.93071, 0.9087, 0.95476, 0.77328, 0.73596, 0.40126, 0.9978, 0.000397, 0.000397, 0.000397
|
101 |
+
100, 0.61787, 0.30832, 0.96002, 0.92628, 0.91273, 0.95437, 0.77299, 0.73664, 0.40192, 0.99909, 0.000298, 0.000298, 0.000298
|
head_detect_v0.5_s/results.png
ADDED