Publish model head_detect_v1.6_l_rtdetr, on 2024-10-07 19:34:51 CST
Browse files- head_detect_v1.6_l_rtdetr/F1_curve.png +0 -0
- head_detect_v1.6_l_rtdetr/PR_curve.png +0 -0
- head_detect_v1.6_l_rtdetr/P_curve.png +0 -0
- head_detect_v1.6_l_rtdetr/R_curve.png +0 -0
- head_detect_v1.6_l_rtdetr/confusion_matrix.png +0 -0
- head_detect_v1.6_l_rtdetr/confusion_matrix_normalized.png +0 -0
- head_detect_v1.6_l_rtdetr/events.out.tfevents.1728225719.c90f959e71b857ee5e9e4c6d2ab74903214e611a77ce805ae0fcd202.16156.0 +3 -0
- head_detect_v1.6_l_rtdetr/labels.jpg +0 -0
- head_detect_v1.6_l_rtdetr/labels.json +3 -0
- head_detect_v1.6_l_rtdetr/labels_correlogram.jpg +0 -0
- head_detect_v1.6_l_rtdetr/model.onnx +3 -0
- head_detect_v1.6_l_rtdetr/model.pt +3 -0
- head_detect_v1.6_l_rtdetr/model_type.json +3 -0
- head_detect_v1.6_l_rtdetr/results.csv +101 -0
- head_detect_v1.6_l_rtdetr/results.png +0 -0
- head_detect_v1.6_l_rtdetr/threshold.json +4 -0
head_detect_v1.6_l_rtdetr/F1_curve.png
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head_detect_v1.6_l_rtdetr/PR_curve.png
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head_detect_v1.6_l_rtdetr/P_curve.png
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head_detect_v1.6_l_rtdetr/R_curve.png
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head_detect_v1.6_l_rtdetr/confusion_matrix.png
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head_detect_v1.6_l_rtdetr/confusion_matrix_normalized.png
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head_detect_v1.6_l_rtdetr/events.out.tfevents.1728225719.c90f959e71b857ee5e9e4c6d2ab74903214e611a77ce805ae0fcd202.16156.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:076345aa5ccf0586db855a712608b44c039f72309b3ea48cd026a0e44360d59d
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size 1168220
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head_detect_v1.6_l_rtdetr/labels.jpg
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head_detect_v1.6_l_rtdetr/labels.json
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[
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"head"
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]
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head_detect_v1.6_l_rtdetr/labels_correlogram.jpg
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head_detect_v1.6_l_rtdetr/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f79c294e9c2edc33d5c977052fd139243f646ca85c69bfd5f69ebf749be411e
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size 128409220
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head_detect_v1.6_l_rtdetr/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c827ad0502b290df86b74ae2bad064d3e6ac3b583e64b52ad24e42a9c151459b
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size 66224262
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head_detect_v1.6_l_rtdetr/model_type.json
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{
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"model_type": "rtdetr"
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}
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head_detect_v1.6_l_rtdetr/results.csv
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1 |
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epoch, train/giou_loss, train/cls_loss, train/l1_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/giou_loss, val/cls_loss, val/l1_loss, lr/pg0, lr/pg1, lr/pg2
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75, 0.43399, 0.45564, 0.15883, 0.95726, 0.899, 0.95729, 0.71594, 0.29327, 0.4306, 0.13134, 0.002674, 0.002674, 0.002674
|
77 |
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76, 0.35008, 0.44139, 0.13944, 0.95596, 0.89885, 0.95698, 0.71465, 0.29515, 0.43178, 0.13128, 0.002575, 0.002575, 0.002575
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78 |
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77, 0.38461, 0.44955, 0.1471, 0.95482, 0.90061, 0.95748, 0.71872, 0.29122, 0.43239, 0.13034, 0.002476, 0.002476, 0.002476
|
79 |
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78, 0.39173, 0.45416, 0.14845, 0.95841, 0.90373, 0.96023, 0.72748, 0.28489, 0.43511, 0.13127, 0.002377, 0.002377, 0.002377
|
80 |
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79, 0.52566, 0.4674, 0.17895, 0.95768, 0.90528, 0.96079, 0.71572, 0.29813, 0.43922, 0.13462, 0.002278, 0.002278, 0.002278
|
81 |
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80, 0.35089, 0.44204, 0.13923, 0.9581, 0.90566, 0.96079, 0.71449, 0.30005, 0.43876, 0.13488, 0.002179, 0.002179, 0.002179
|
82 |
+
81, 0.38825, 0.45058, 0.14582, 0.95842, 0.90393, 0.95989, 0.69062, 0.32335, 0.44087, 0.13898, 0.00208, 0.00208, 0.00208
|
83 |
+
82, 0.47445, 0.4662, 0.16691, 0.95727, 0.89855, 0.95626, 0.64587, 0.3671, 0.44767, 0.14757, 0.001981, 0.001981, 0.001981
|
84 |
+
83, 0.47558, 0.46097, 0.16455, 0.95355, 0.88996, 0.94885, 0.60549, 0.40834, 0.45054, 0.15599, 0.001882, 0.001882, 0.001882
|
85 |
+
84, 0.38121, 0.44323, 0.14421, 0.95122, 0.88714, 0.94631, 0.59452, 0.41906, 0.45118, 0.15813, 0.001783, 0.001783, 0.001783
|
86 |
+
85, 0.32881, 0.42991, 0.13309, 0.95005, 0.88601, 0.94487, 0.58861, 0.42518, 0.45026, 0.15916, 0.001684, 0.001684, 0.001684
|
87 |
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86, 0.32894, 0.42982, 0.13169, 0.94965, 0.88372, 0.94244, 0.58631, 0.42721, 0.44979, 0.15943, 0.001585, 0.001585, 0.001585
|
88 |
+
87, 0.32454, 0.42832, 0.12988, 0.94838, 0.88471, 0.9425, 0.58934, 0.42531, 0.44723, 0.15853, 0.001486, 0.001486, 0.001486
|
89 |
+
88, 0.32221, 0.42868, 0.1297, 0.9495, 0.88616, 0.94277, 0.59537, 0.4196, 0.44366, 0.15759, 0.001387, 0.001387, 0.001387
|
90 |
+
89, 0.3198, 0.42404, 0.12988, 0.95147, 0.88582, 0.94455, 0.60208, 0.41339, 0.44097, 0.15598, 0.001288, 0.001288, 0.001288
|
91 |
+
90, 0.31593, 0.42039, 0.12785, 0.95402, 0.88731, 0.94587, 0.60927, 0.40597, 0.43846, 0.1539, 0.001189, 0.001189, 0.001189
|
92 |
+
91, 0.29174, 0.36701, 0.13705, 0.95385, 0.8893, 0.94695, 0.61494, 0.39994, 0.43681, 0.15211, 0.00109, 0.00109, 0.00109
|
93 |
+
92, 0.28903, 0.36216, 0.13542, 0.95565, 0.89117, 0.94836, 0.62293, 0.39239, 0.43245, 0.15026, 0.000991, 0.000991, 0.000991
|
94 |
+
93, 0.2829, 0.35853, 0.13109, 0.9569, 0.89285, 0.95019, 0.63158, 0.38407, 0.4285, 0.14831, 0.000892, 0.000892, 0.000892
|
95 |
+
94, 0.27966, 0.35437, 0.12848, 0.95623, 0.89411, 0.95083, 0.64218, 0.3737, 0.42457, 0.14615, 0.000793, 0.000793, 0.000793
|
96 |
+
95, 0.27522, 0.34886, 0.12625, 0.95782, 0.89495, 0.95131, 0.65275, 0.36335, 0.42186, 0.14375, 0.000694, 0.000694, 0.000694
|
97 |
+
96, 0.2711, 0.34582, 0.125, 0.95814, 0.89656, 0.95293, 0.66332, 0.35359, 0.41874, 0.14123, 0.000595, 0.000595, 0.000595
|
98 |
+
97, 0.26807, 0.34146, 0.12267, 0.95796, 0.89977, 0.95526, 0.67297, 0.34481, 0.41551, 0.13972, 0.000496, 0.000496, 0.000496
|
99 |
+
98, 0.26378, 0.33806, 0.12026, 0.95881, 0.90375, 0.95787, 0.68198, 0.33617, 0.41147, 0.13884, 0.000397, 0.000397, 0.000397
|
100 |
+
99, 0.2599, 0.33321, 0.11654, 0.95792, 0.90619, 0.95854, 0.69201, 0.32694, 0.40872, 0.13727, 0.000298, 0.000298, 0.000298
|
101 |
+
100, 0.25678, 0.33101, 0.11631, 0.95791, 0.90657, 0.95921, 0.69947, 0.3194, 0.40692, 0.13586, 0.000199, 0.000199, 0.000199
|
head_detect_v1.6_l_rtdetr/results.png
ADDED
head_detect_v1.6_l_rtdetr/threshold.json
ADDED
@@ -0,0 +1,4 @@
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|
1 |
+
{
|
2 |
+
"f1_score": 0.93,
|
3 |
+
"threshold": 0.53
|
4 |
+
}
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