====================================================================== 【ddaw_1124】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/ddaw_1124 ====================================================================== 当前划分: train=3824 val=424 test=0 合计=4248 类别数(nc): 9 类别ID: [0, 1, 2, 3, 4, 5, 6, 7, 8] --- 当前：含该类别的图片数（按 split）--- cls train val val% test 合计 0 3072 348 10.2% 0 3420 1 686 65 8.7% 0 751 2 1827 210 10.3% 0 2037 3 619 71 10.3% 0 690 4 279 29 9.4% 0 308 5 881 99 10.1% 0 980 6 2415 273 10.2% 0 2688 7 659 64 8.9% 0 723 8 138 15 9.8% 0 153 当前 val 占比: min=8.7% max=10.3% 极差=1.7% (目标≈10%) ✓ 当前各类 val 比例已较均衡 --- 分层重分后(模拟, val_ratio=0.1, seed=42) --- train=3823 val=425 cls train val val% 0 3074 346 10.1% 1 674 77 10.3% 2 1834 203 10.0% 3 620 70 10.1% 4 277 31 10.1% 5 882 98 10.0% 6 2423 265 9.9% 7 651 72 10.0% 8 138 15 9.8% 重分后 val 占比: min=9.8% max=10.3% 极差=0.4% ✓ 分层后各类 val 比例均衡（极差≤2%） ====================================================================== 【addw_0523】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/addw_0523 ====================================================================== 当前划分: train=2375 val=594 test=0 合计=2969 类别数(nc): 4 类别ID: [0, 1, 2, 3] --- 当前：含该类别的图片数（按 split）--- cls train val val% test 合计 0 1367 370 21.3% 0 1737 1 415 120 22.4% 0 535 2 1018 229 18.4% 0 1247 3 1812 445 19.7% 0 2257 当前 val 占比: min=18.4% max=22.4% 极差=4.1% (目标≈10%) ⚠ 当前各类 val 比例不均衡 --- 分层重分后(模拟, val_ratio=0.1, seed=42) --- train=2671 val=298 cls train val val% 0 1565 172 9.9% 1 481 54 10.1% 2 1121 126 10.1% 3 2029 228 10.1% 重分后 val 占比: min=9.9% max=10.1% 极差=0.2% ✓ 分层后各类 val 比例均衡（极差≤2%） ====================================================================== 【isa_detect】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/isa_detect ====================================================================== 当前划分: train=50480 val=9584 test=0 合计=60064 类别数(nc): 4 类别ID: [0, 1, 2, 3] --- 当前：含该类别的图片数（按 split）--- cls train val val% test 合计 0 15871 2971 15.8% 0 18842 1 33355 7060 17.5% 0 40415 2 7348 1204 14.1% 0 8552 3 14715 2429 14.2% 0 17144 当前 val 占比: min=14.1% max=17.5% 极差=3.4% (目标≈10%) ⚠ 当前各类 val 比例不均衡 --- 分层重分后(模拟, val_ratio=0.1, seed=42) --- train=54066 val=5940 cls train val val% 0 16883 1902 10.1% 1 36344 4013 9.9% 2 7693 855 10.0% 3 15435 1707 10.0% 重分后 val 占比: min=9.9% max=10.1% 极差=0.2% ✓ 分层后各类 val 比例均衡（极差≤2%） ====================================================================== 【dam_0516】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/dam_0516 ====================================================================== 当前划分: train=3780 val=1890 test=0 合计=5670 类别数(nc): 15 类别ID: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] --- 当前：含该类别的图片数（按 split）--- cls train val val% test 合计 0 2582 1337 34.1% 0 3919 1 726 373 33.9% 0 1099 2 1670 829 33.2% 0 2499 3 784 395 33.5% 0 1179 4 266 136 33.8% 0 402 5 1141 542 32.2% 0 1683 6 2066 1050 33.7% 0 3116 7 670 324 32.6% 0 994 8 445 217 32.8% 0 662 9 1088 528 32.7% 0 1616 10 306 164 34.9% 0 470 11 838 464 35.6% 0 1302 12 883 489 35.6% 0 1372 13 3700 1843 33.2% 0 5543 14 360 151 29.5% 0 511 当前 val 占比: min=29.5% max=35.6% 极差=6.1% (目标≈10%) ⚠ 当前各类 val 比例不均衡 --- 分层重分后(模拟, val_ratio=0.1, seed=42) --- train=5104 val=566 cls train val val% 0 3525 394 10.1% 1 986 113 10.3% 2 2240 259 10.4% 3 1074 105 8.9% 4 362 40 10.0% 5 1497 186 11.1% 6 2826 290 9.3% 7 896 98 9.9% 8 595 67 10.1% 9 1473 143 8.8% 10 423 47 10.0% 11 1180 122 9.4% 12 1241 131 9.5% 13 4988 555 10.0% 14 459 52 10.2% 重分后 val 占比: min=8.8% max=11.1% 极差=2.2% ~ 分层后明显改善，少数类因样本极少会有小幅偏差 ====================================================================== 【yoloface-0726】YOLO 检测 path: /home/chengfanglu/DATA/DMS/DATASET/gyp/yoloface-0726 ====================================================================== 当前划分: train=4145 val=1464 test=0 合计=5609 类别数(nc): 1 类别ID: [0] --- 当前：含该类别的图片数（按 split）--- cls train val val% test 合计 0 4137 1462 26.1% 0 5599 当前 val 占比: min=26.1% max=26.1% 极差=0.0% (目标≈10%) ✓ 当前各类 val 比例已较均衡 --- 分层重分后(模拟, val_ratio=0.1, seed=42) --- train=4970 val=551 cls train val val% 0 4960 551 10.0% 重分后 val 占比: min=10.0% max=10.0% 极差=0.0% ✓ 分层后各类 val 比例均衡（极差≤2%） ====================================================================== 【isa_class_0116】分类(文件夹) path: /home/chengfanglu/DATA/DMS/DATASET/gyp/isa_class_0116 ====================================================================== split: ['test', 'train'] 类别数: 92 总图片: 61747 --- 每类图片数（前20类 + 汇总）--- class test train 005 43 393 010 55 501 015 47 424 020 67 604 030 214 1933 040 152 1369 050 279 2513 060 224 2024 070 179 1614 080 285 2572 090 116 1045 100 207 1866 110 88 794 120 156 1407 130 47 429 arrow_right 126 1138 arrow_up 38 350 bycycle 40 368 dis_005 30 279 dis_010 23 213 (仅列前20类，共92类) 当前为 train/test 结构（无 val）；若需 val 请用 stratified_split.py classify --src-split train 若从 train 按类划 10% val: val% min=8.3% max=11.8% 极差=3.4% test: 92类 min=1 max=310 avg=67 合计=6133 train: 92类 min=17 max=2792 avg=604 合计=55614 ====================================================================== 【dam_src_0417】原始 jpg+xml path: /home/chengfanglu/DATA/DMS/DATASET/gyp/dam_src_0417 ====================================================================== src_data_0417_pick: jpg=2455 xml=2455 (无 YOLO 标签，待转换后按类划分)