Publish model face_detect_v0_n_yv11, on 2025-02-06 10:16:56 CST
Browse files- .gitattributes +3 -0
- face_detect_v0_n_yv11/F1_curve.png +0 -0
- face_detect_v0_n_yv11/PR_curve.png +0 -0
- face_detect_v0_n_yv11/P_curve.png +0 -0
- face_detect_v0_n_yv11/R_curve.png +0 -0
- face_detect_v0_n_yv11/confusion_matrix.png +0 -0
- face_detect_v0_n_yv11/confusion_matrix_normalized.png +0 -0
- face_detect_v0_n_yv11/events.out.tfevents.1738769495.74aa4261331bbcab0987b94433af8ac622a654e7594a46e49f97167a.2029186.0 +3 -0
- face_detect_v0_n_yv11/labels.jpg +3 -0
- face_detect_v0_n_yv11/labels.json +3 -0
- face_detect_v0_n_yv11/labels_correlogram.jpg +3 -0
- face_detect_v0_n_yv11/model.onnx +3 -0
- face_detect_v0_n_yv11/model.pt +3 -0
- face_detect_v0_n_yv11/model_type.json +3 -0
- face_detect_v0_n_yv11/results.csv +101 -0
- face_detect_v0_n_yv11/results.png +3 -0
- face_detect_v0_n_yv11/threshold.json +4 -0
.gitattributes
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face_detect_v0_l/labels.jpg filter=lfs diff=lfs merge=lfs -text
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face_detect_v0_l/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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face_detect_v0_l/results.png filter=lfs diff=lfs merge=lfs -text
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face_detect_v0_l/labels.jpg filter=lfs diff=lfs merge=lfs -text
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face_detect_v0_l/results.png filter=lfs diff=lfs merge=lfs -text
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face_detect_v0_n_yv11/labels.jpg filter=lfs diff=lfs merge=lfs -text
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face_detect_v0_n_yv11/results.png filter=lfs diff=lfs merge=lfs -text
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face_detect_v0_n_yv11/F1_curve.png
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face_detect_v0_n_yv11/PR_curve.png
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face_detect_v0_n_yv11/P_curve.png
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face_detect_v0_n_yv11/R_curve.png
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face_detect_v0_n_yv11/confusion_matrix.png
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face_detect_v0_n_yv11/confusion_matrix_normalized.png
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face_detect_v0_n_yv11/events.out.tfevents.1738769495.74aa4261331bbcab0987b94433af8ac622a654e7594a46e49f97167a.2029186.0
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face_detect_v0_n_yv11/labels.jpg
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face_detect_v0_n_yv11/labels.json
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face_detect_v0_n_yv11/model.onnx
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face_detect_v0_n_yv11/model_type.json
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face_detect_v0_n_yv11/results.csv
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66,2144.91,1.3104,0.71393,1.06755,0.84842,0.57745,0.66619,0.38065,1.23721,0.56235,1.02228,0.003565,0.003565,0.003565
|
68 |
+
67,2176.9,1.30612,0.71247,1.05621,0.85032,0.58198,0.66823,0.38271,1.22831,0.56054,1.02014,0.003466,0.003466,0.003466
|
69 |
+
68,2209.18,1.32974,0.72112,1.06389,0.85405,0.57919,0.66902,0.38305,1.23283,0.55826,1.02153,0.003367,0.003367,0.003367
|
70 |
+
69,2240.45,1.32052,0.71983,1.04981,0.85346,0.57913,0.66905,0.38142,1.24579,0.56066,1.03,0.003268,0.003268,0.003268
|
71 |
+
70,2272.19,1.32663,0.72695,1.05415,0.85664,0.57935,0.66944,0.38329,1.23521,0.55655,1.01649,0.003169,0.003169,0.003169
|
72 |
+
71,2303.95,1.29923,0.70843,1.05566,0.84811,0.58368,0.67016,0.3843,1.21743,0.5517,1.01135,0.00307,0.00307,0.00307
|
73 |
+
72,2336.39,1.31274,0.71398,1.04878,0.85076,0.58385,0.6716,0.38523,1.22464,0.55319,1.01395,0.002971,0.002971,0.002971
|
74 |
+
73,2368.01,1.30117,0.71304,1.05092,0.85619,0.58028,0.66849,0.38327,1.23606,0.55646,1.02057,0.002872,0.002872,0.002872
|
75 |
+
74,2399.82,1.28586,0.69204,1.04545,0.85272,0.58139,0.669,0.38296,1.22874,0.5517,1.01762,0.002773,0.002773,0.002773
|
76 |
+
75,2431.71,1.29375,0.6966,1.0472,0.85608,0.58271,0.67223,0.3861,1.2152,0.54981,1.00902,0.002674,0.002674,0.002674
|
77 |
+
76,2463.38,1.31909,0.70761,1.04572,0.85383,0.58376,0.67204,0.38548,1.2249,0.55074,1.01327,0.002575,0.002575,0.002575
|
78 |
+
77,2494.99,1.28864,0.68958,1.03925,0.85693,0.58321,0.67292,0.3873,1.21381,0.54634,1.00535,0.002476,0.002476,0.002476
|
79 |
+
78,2526.47,1.27061,0.67839,1.03736,0.85517,0.58447,0.6732,0.38793,1.21729,0.5464,1.00792,0.002377,0.002377,0.002377
|
80 |
+
79,2558.39,1.27441,0.69184,1.04679,0.85377,0.58687,0.67497,0.38695,1.21789,0.54686,1.00971,0.002278,0.002278,0.002278
|
81 |
+
80,2589.93,1.2623,0.67842,1.04189,0.85584,0.58646,0.67575,0.38893,1.2113,0.54237,1.00572,0.002179,0.002179,0.002179
|
82 |
+
81,2621.93,1.27203,0.67685,1.03589,0.85681,0.58467,0.67491,0.38786,1.21669,0.54328,1.00576,0.00208,0.00208,0.00208
|
83 |
+
82,2653.85,1.27794,0.67394,1.03211,0.85909,0.58337,0.67425,0.38752,1.21829,0.54343,1.00928,0.001981,0.001981,0.001981
|
84 |
+
83,2685.61,1.24575,0.65943,1.03951,0.85801,0.58511,0.67497,0.38794,1.21362,0.54229,1.00986,0.001882,0.001882,0.001882
|
85 |
+
84,2716.56,1.26263,0.66809,1.03653,0.85626,0.58632,0.67511,0.38898,1.21472,0.54153,1.01079,0.001783,0.001783,0.001783
|
86 |
+
85,2748.13,1.27152,0.67404,1.03235,0.85855,0.58626,0.67556,0.38791,1.21891,0.54328,1.01134,0.001684,0.001684,0.001684
|
87 |
+
86,2779.38,1.27272,0.68561,1.04111,0.85414,0.58854,0.67671,0.38884,1.21204,0.54005,1.01011,0.001585,0.001585,0.001585
|
88 |
+
87,2811.2,1.25293,0.6662,1.02627,0.86044,0.58577,0.67641,0.38975,1.21605,0.53993,1.00924,0.001486,0.001486,0.001486
|
89 |
+
88,2842.9,1.28075,0.67065,1.01572,0.85731,0.58665,0.67604,0.38923,1.21488,0.53981,1.00776,0.001387,0.001387,0.001387
|
90 |
+
89,2874.5,1.22777,0.65623,1.02276,0.85959,0.58612,0.67678,0.38954,1.2153,0.53877,1.00576,0.001288,0.001288,0.001288
|
91 |
+
90,2906.12,1.24606,0.66203,1.02161,0.85712,0.58674,0.67614,0.38883,1.2183,0.54003,1.00473,0.001189,0.001189,0.001189
|
92 |
+
91,2938.86,1.22206,0.59778,1.01381,0.85543,0.58726,0.67641,0.38917,1.21566,0.53997,1.00309,0.00109,0.00109,0.00109
|
93 |
+
92,2970.61,1.21088,0.58897,1.01394,0.85575,0.586,0.67597,0.38939,1.21354,0.5403,1.00421,0.000991,0.000991,0.000991
|
94 |
+
93,3002.06,1.1879,0.57249,1.01609,0.85595,0.58502,0.67525,0.38889,1.21396,0.54029,1.00623,0.000892,0.000892,0.000892
|
95 |
+
94,3033.61,1.18607,0.58149,1.00998,0.85631,0.58487,0.67453,0.38865,1.21381,0.54036,1.00604,0.000793,0.000793,0.000793
|
96 |
+
95,3065.32,1.17812,0.56449,1.0077,0.85659,0.58515,0.67465,0.38822,1.21355,0.54027,1.00447,0.000694,0.000694,0.000694
|
97 |
+
96,3096.64,1.1724,0.56915,0.99569,0.85756,0.58458,0.67485,0.38818,1.21412,0.53994,1.0049,0.000595,0.000595,0.000595
|
98 |
+
97,3128.28,1.1487,0.54454,1.01106,0.85656,0.58464,0.67457,0.38843,1.21437,0.53973,1.00632,0.000496,0.000496,0.000496
|
99 |
+
98,3159.7,1.15526,0.55533,1.00157,0.85698,0.58509,0.67535,0.3887,1.2154,0.53957,1.00781,0.000397,0.000397,0.000397
|
100 |
+
99,3191.07,1.15149,0.55058,1.00066,0.85506,0.58533,0.67518,0.38857,1.21529,0.53941,1.00833,0.000298,0.000298,0.000298
|
101 |
+
100,3222.43,1.18895,0.57458,0.99789,0.85257,0.58666,0.6756,0.38858,1.21583,0.53899,1.00897,0.000199,0.000199,0.000199
|
face_detect_v0_n_yv11/results.png
ADDED
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Git LFS Details
|
face_detect_v0_n_yv11/threshold.json
ADDED
@@ -0,0 +1,4 @@
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|
1 |
+
{
|
2 |
+
"f1_score": 0.7,
|
3 |
+
"threshold": 0.263
|
4 |
+
}
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