Publish model head_detect_v0.3_s, on 2024-09-17 02:40:55 UTC
Browse files- head_detect_v0.3_s/F1_curve.png +0 -0
- head_detect_v0.3_s/PR_curve.png +0 -0
- head_detect_v0.3_s/P_curve.png +0 -0
- head_detect_v0.3_s/R_curve.png +0 -0
- head_detect_v0.3_s/confusion_matrix.png +0 -0
- head_detect_v0.3_s/confusion_matrix_normalized.png +0 -0
- head_detect_v0.3_s/events.out.tfevents.1726507397.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1909793.0 +3 -0
- head_detect_v0.3_s/labels.jpg +0 -0
- head_detect_v0.3_s/labels_correlogram.jpg +0 -0
- head_detect_v0.3_s/model.onnx +3 -0
- head_detect_v0.3_s/model.pt +3 -0
- head_detect_v0.3_s/model_artifacts.json +1 -0
- head_detect_v0.3_s/results.csv +101 -0
- head_detect_v0.3_s/results.png +0 -0
head_detect_v0.3_s/F1_curve.png
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head_detect_v0.3_s/PR_curve.png
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head_detect_v0.3_s/P_curve.png
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head_detect_v0.3_s/R_curve.png
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head_detect_v0.3_s/confusion_matrix.png
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head_detect_v0.3_s/confusion_matrix_normalized.png
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head_detect_v0.3_s/events.out.tfevents.1726507397.dd381fc62bdfa9ecca29a7a9c2e134137902c3050389946c1ab5ffd4.1909793.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:65b06dddf26f610d44e75dfad9facdb01caa1d36f74d85e82c51e221202d4222
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size 41628668
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head_detect_v0.3_s/labels.jpg
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head_detect_v0.3_s/labels_correlogram.jpg
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head_detect_v0.3_s/model.onnx
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version https://git-lfs.github.com/spec/v1
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size 44585336
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head_detect_v0.3_s/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0eac4e0c7d005bdcc7ef5117a9688a1e64e255c7ca2964415f37c00e5407ccf7
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size 22512622
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head_detect_v0.3_s/model_artifacts.json
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{"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"}
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head_detect_v0.3_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
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2 |
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2, 1.24, 1.0208, 1.3461, 0.89237, 0.80712, 0.90147, 0.64255, 1.0075, 0.72212, 1.2057, 0.0065994, 0.0065994, 0.0065994
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3, 1.2881, 1.0951, 1.3839, 0.87058, 0.80018, 0.88373, 0.63089, 1, 0.79017, 1.2062, 0.0098008, 0.0098008, 0.0098008
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75 |
+
74, 0.80413, 0.51816, 1.06, 0.92853, 0.9038, 0.96076, 0.78583, 0.69159, 0.39872, 0.99434, 0.002872, 0.002872, 0.002872
|
76 |
+
75, 0.79916, 0.51272, 1.0556, 0.92789, 0.90428, 0.96063, 0.78651, 0.69045, 0.39789, 0.99352, 0.002773, 0.002773, 0.002773
|
77 |
+
76, 0.79308, 0.51201, 1.0557, 0.92784, 0.90236, 0.96006, 0.78665, 0.69001, 0.39756, 0.99278, 0.002674, 0.002674, 0.002674
|
78 |
+
77, 0.7891, 0.50678, 1.0532, 0.93033, 0.90378, 0.96021, 0.78715, 0.68943, 0.39719, 0.99234, 0.002575, 0.002575, 0.002575
|
79 |
+
78, 0.78727, 0.50504, 1.0513, 0.92548, 0.90496, 0.95994, 0.78721, 0.6891, 0.39739, 0.99186, 0.002476, 0.002476, 0.002476
|
80 |
+
79, 0.77851, 0.49695, 1.0469, 0.92707, 0.90409, 0.9601, 0.78704, 0.68933, 0.39665, 0.99192, 0.002377, 0.002377, 0.002377
|
81 |
+
80, 0.77787, 0.49785, 1.0506, 0.92718, 0.90581, 0.96012, 0.78715, 0.68872, 0.39619, 0.99159, 0.002278, 0.002278, 0.002278
|
82 |
+
81, 0.77385, 0.49234, 1.0453, 0.9267, 0.90726, 0.95992, 0.78778, 0.68873, 0.39596, 0.99151, 0.002179, 0.002179, 0.002179
|
83 |
+
82, 0.76831, 0.48742, 1.0442, 0.9291, 0.9058, 0.95988, 0.78751, 0.68873, 0.39531, 0.99173, 0.00208, 0.00208, 0.00208
|
84 |
+
83, 0.76136, 0.48285, 1.0405, 0.92636, 0.90755, 0.95964, 0.78787, 0.68835, 0.39508, 0.99145, 0.001981, 0.001981, 0.001981
|
85 |
+
84, 0.75699, 0.48172, 1.0367, 0.92327, 0.9115, 0.95947, 0.78796, 0.68841, 0.39507, 0.99139, 0.001882, 0.001882, 0.001882
|
86 |
+
85, 0.75314, 0.476, 1.0378, 0.92257, 0.91187, 0.95986, 0.78829, 0.68848, 0.39493, 0.99165, 0.001783, 0.001783, 0.001783
|
87 |
+
86, 0.75073, 0.47461, 1.0367, 0.92378, 0.91113, 0.95962, 0.78736, 0.68832, 0.39469, 0.99189, 0.001684, 0.001684, 0.001684
|
88 |
+
87, 0.74198, 0.46925, 1.0323, 0.92308, 0.911, 0.95945, 0.78834, 0.68793, 0.39486, 0.99173, 0.001585, 0.001585, 0.001585
|
89 |
+
88, 0.73491, 0.46321, 1.026, 0.92478, 0.91003, 0.95925, 0.78813, 0.6883, 0.39499, 0.99216, 0.001486, 0.001486, 0.001486
|
90 |
+
89, 0.73091, 0.45896, 1.0225, 0.92537, 0.91069, 0.95934, 0.78785, 0.68801, 0.39454, 0.99184, 0.001387, 0.001387, 0.001387
|
91 |
+
90, 0.72732, 0.45449, 1.021, 0.92605, 0.91014, 0.959, 0.78818, 0.68785, 0.39481, 0.99169, 0.001288, 0.001288, 0.001288
|
92 |
+
91, 0.67833, 0.34575, 0.98955, 0.92614, 0.91015, 0.95883, 0.7886, 0.68827, 0.3947, 0.99163, 0.001189, 0.001189, 0.001189
|
93 |
+
92, 0.66299, 0.33673, 0.98151, 0.92481, 0.91039, 0.95904, 0.78861, 0.68862, 0.39451, 0.9916, 0.00109, 0.00109, 0.00109
|
94 |
+
93, 0.65169, 0.3323, 0.97697, 0.92543, 0.90927, 0.95868, 0.78869, 0.68854, 0.39423, 0.99146, 0.000991, 0.000991, 0.000991
|
95 |
+
94, 0.64091, 0.32451, 0.97036, 0.92395, 0.9087, 0.95861, 0.78893, 0.68864, 0.39404, 0.9915, 0.000892, 0.000892, 0.000892
|
96 |
+
95, 0.63205, 0.31808, 0.96705, 0.92441, 0.90697, 0.95828, 0.78848, 0.68915, 0.39425, 0.99192, 0.000793, 0.000793, 0.000793
|
97 |
+
96, 0.6239, 0.31479, 0.96079, 0.92506, 0.90656, 0.95822, 0.78863, 0.68928, 0.39503, 0.99196, 0.000694, 0.000694, 0.000694
|
98 |
+
97, 0.61558, 0.30951, 0.95925, 0.92447, 0.90668, 0.9583, 0.7889, 0.68938, 0.39472, 0.99216, 0.000595, 0.000595, 0.000595
|
99 |
+
98, 0.60923, 0.30553, 0.95541, 0.92457, 0.90351, 0.95785, 0.78912, 0.68971, 0.39487, 0.99259, 0.000496, 0.000496, 0.000496
|
100 |
+
99, 0.60267, 0.30354, 0.9535, 0.9266, 0.9017, 0.95748, 0.78907, 0.69013, 0.39537, 0.99324, 0.000397, 0.000397, 0.000397
|
101 |
+
100, 0.59791, 0.29829, 0.95012, 0.92799, 0.90063, 0.95728, 0.78877, 0.69058, 0.39555, 0.99394, 0.000298, 0.000298, 0.000298
|
head_detect_v0.3_s/results.png
ADDED