para-detect10 / results.csv
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epoch, train/box_loss, train/cls_loss, train/dfl_loss, metrics/precision, metrics/recall, metrics/mAP_0.5,metrics/mAP_0.5:0.95, val/box_loss, val/cls_loss, val/dfl_loss, x/lr0, x/lr1, x/lr2
0, 0.88252, 1.8432, 1.3754, 0.94016, 0.90972, 0.97322, 0.90454, 0.37222, 0.60163, 1.0468, 0.070123, 0.0033196, 0.0033196
1, 0.72024, 0.97979, 1.2164, 0.85556, 0.82168, 0.88379, 0.77593, 0.45809, 0.98985, 1.168, 0.03986, 0.0063895, 0.0063895
2, 0.76763, 1.0334, 1.2524, 0.81785, 0.70752, 0.79806, 0.56731, 0.98722, 1.6022, 1.8426, 0.0093325, 0.0091954, 0.0091954
3, 0.78704, 1.0848, 1.2715, 0.81426, 0.79119, 0.88966, 0.56661, 0.94341, 1.2358, 1.6505, 0.008812, 0.008812, 0.008812
4, 0.7514, 1.0018, 1.237, 0.92151, 0.92984, 0.96649, 0.7224, 0.84681, 0.91712, 1.5872, 0.008812, 0.008812, 0.008812
5, 0.71603, 0.92162, 1.214, 0.92402, 0.89547, 0.96905, 0.8126, 0.65768, 0.70344, 1.4581, 0.008416, 0.008416, 0.008416
6, 0.69041, 0.91273, 1.1982, 0.97218, 0.95404, 0.99109, 0.88117, 0.54191, 0.54814, 1.2096, 0.00802, 0.00802, 0.00802
7, 0.67006, 0.86874, 1.1874, 0.97249, 0.9701, 0.99186, 0.84037, 0.60067, 0.51293, 1.2266, 0.007624, 0.007624, 0.007624
8, 0.63014, 0.81505, 1.1593, 0.974, 0.99228, 0.99229, 0.88805, 0.48941, 0.46551, 1.1613, 0.007228, 0.007228, 0.007228
9, 0.60669, 0.79376, 1.1411, 0.9667, 0.98155, 0.99109, 0.93512, 0.37412, 0.48994, 1.0514, 0.006832, 0.006832, 0.006832
10, 0.27779, 0.43606, 1.0769, 0.96651, 0.9821, 0.99327, 0.9099, 0.36574, 0.37635, 1.006, 0.006436, 0.006436, 0.006436
11, 0.22003, 0.35626, 1.0261, 0.94504, 0.96286, 0.99305, 0.93038, 0.38966, 0.42161, 1.0586, 0.00604, 0.00604, 0.00604
12, 0.21833, 0.34583, 1.0347, 0.94361, 0.94989, 0.99142, 0.98768, 0.24372, 0.41852, 0.90121, 0.005644, 0.005644, 0.005644
13, 0.20043, 0.29711, 1.0107, 0.96478, 0.9544, 0.9863, 0.98451, 0.25271, 0.39661, 0.89518, 0.005248, 0.005248, 0.005248
14, 0.19662, 0.27814, 1.0135, 0.98841, 0.99211, 0.99481, 0.99385, 0.24574, 0.27229, 0.88403, 0.004852, 0.004852, 0.004852
15, 0.1857, 0.24168, 1.0064, 0.9959, 0.99285, 0.99497, 0.94513, 0.33919, 0.27097, 0.99197, 0.004456, 0.004456, 0.004456
16, 0.18126, 0.21709, 1.0067, 0.99167, 0.9934, 0.99489, 0.98708, 0.28977, 0.24611, 0.94808, 0.00406, 0.00406, 0.00406
17, 0.18172, 0.20862, 1.0056, 0.9862, 0.98849, 0.99456, 0.99348, 0.21272, 0.24951, 0.83152, 0.003664, 0.003664, 0.003664
18, 0.16843, 0.19872, 0.99908, 0.9809, 0.97734, 0.99399, 0.99374, 0.23835, 0.29962, 0.87817, 0.003268, 0.003268, 0.003268
19, 0.1672, 0.17939, 1.0003, 0.99667, 0.99695, 0.995, 0.99488, 0.23018, 0.20267, 0.86361, 0.002872, 0.002872, 0.002872
20, 0.15985, 0.1616, 0.99427, 0.9704, 0.97807, 0.99244, 0.99222, 0.25208, 0.25832, 0.87329, 0.002476, 0.002476, 0.002476
21, 0.15558, 0.142, 0.98971, 0.9961, 0.99796, 0.99398, 0.94168, 0.30649, 0.19504, 0.92509, 0.00208, 0.00208, 0.00208
22, 0.14932, 0.14761, 0.98875, 0.9994, 0.99998, 0.995, 0.97926, 0.28341, 0.25527, 0.92273, 0.001684, 0.001684, 0.001684
23, 0.14334, 0.12234, 0.98213, 0.99846, 0.99858, 0.995, 0.99427, 0.25557, 0.20835, 0.88574, 0.001288, 0.001288, 0.001288
24, 0.13105, 0.11604, 0.98043, 0.99882, 0.9983, 0.995, 0.99269, 0.2453, 0.19962, 0.8813, 0.000892, 0.000892, 0.000892