ETS2LA/ets2-yolo26n
Updated
Datasets:
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4 0.437932 0.303271 0.085963 0.544629 |
9 0.218150 0.815334 0.282297 0.266296 |
4 0.679323 0.430068 0.037444 0.187555 |
9 0.547622 0.593225 0.052548 0.019610 |
6 0.784469 0.673312 0.016355 0.143148 |
6 0.748540 0.626255 0.012197 0.123451 |
6 0.772311 0.592535 0.009196 0.076036 |
6 0.866114 0.576113 0.008232 0.062762 |
6 0.813863 0.582103 0.008325 0.067788 |
6 0.925985 0.572611 0.008146 0.058023 |
9 0.624391 0.566228 0.027543 0.010885 |
10 0.942852 0.454061 0.037056 0.146009 |
6 0.993495 0.569812 0.007236 0.056888 |
6 0.888757 0.745087 0.024567 0.198824 |
9 0.665827 0.551573 0.017042 0.007034 |
5 0.884497 0.496732 0.051120 0.038406 |
9 0.692240 0.542258 0.011943 0.005806 |
5 0.831574 0.778645 0.019134 0.033329 |
4 0.731758 0.430709 0.023331 0.060097 |
4 0.767928 0.475453 0.015325 0.063992 |
9 0.710784 0.535146 0.008181 0.004258 |
8 0.751676 0.447920 0.016827 0.039056 |
9 0.730158 0.528375 0.007102 0.004115 |
6 0.468828 0.501348 0.004927 0.093056 |
6 0.420529 0.501405 0.005451 0.110079 |
4 0.775909 0.476820 0.012912 0.057157 |
5 0.830885 0.739514 0.026816 0.045103 |
6 0.861418 0.523554 0.003590 0.027244 |
6 0.582511 0.499943 0.004184 0.066855 |
6 0.507495 0.500962 0.004803 0.083644 |
9 0.460857 0.670951 0.098807 0.061880 |
4 0.615755 0.422813 0.040663 0.206185 |
9 0.575526 0.595943 0.032377 0.020868 |
4 0.660305 0.456294 0.024893 0.114165 |
7 0.222734 0.310997 0.012903 0.621995 |
5 0.843349 0.502532 0.054270 0.036236 |
9 0.618097 0.567688 0.016350 0.011225 |
5 0.831376 0.778526 0.018635 0.033229 |
9 0.641446 0.551946 0.010557 0.006814 |
10 0.896643 0.477287 0.037953 0.112506 |
8 0.686523 0.477703 0.015696 0.064191 |
6 0.276473 0.500664 0.006112 0.162809 |
9 0.655993 0.542662 0.007003 0.005214 |
6 0.357788 0.494453 0.005866 0.144650 |
6 0.413938 0.500365 0.005085 0.111822 |
8 0.673050 0.470053 0.012064 0.079597 |
9 0.670043 0.533694 0.005038 0.004367 |
6 0.969301 0.702478 0.024866 0.198190 |
6 0.854791 0.532319 0.003716 0.027334 |
4 0.844422 0.430714 0.007665 0.089478 |
6 0.819158 0.529465 0.003925 0.031919 |
6 0.454860 0.498429 0.004809 0.096116 |
8 0.692737 0.476284 0.013354 0.056971 |
6 0.510771 0.499660 0.004106 0.074888 |
6 0.530503 0.500176 0.004140 0.066962 |
6 0.487266 0.492397 0.004159 0.066578 |
6 0.560518 0.499100 0.003096 0.050588 |
6 0.546473 0.497548 0.003205 0.057441 |
4 0.474244 0.413882 0.046727 0.246757 |
9 0.398597 0.703517 0.082283 0.089175 |
4 0.518399 0.456966 0.024952 0.125310 |
9 0.480947 0.605350 0.024257 0.024663 |
5 0.729275 0.503356 0.055239 0.038875 |
9 0.509192 0.571571 0.010916 0.011334 |
6 0.132151 0.506123 0.007160 0.193053 |
10 0.770632 0.475119 0.036780 0.125431 |
4 0.542272 0.480094 0.015428 0.066058 |
5 0.831328 0.778808 0.018179 0.033005 |
6 0.229744 0.504213 0.006265 0.150249 |
6 0.290960 0.503954 0.005680 0.121647 |
9 0.522821 0.554875 0.006724 0.007411 |
6 0.333235 0.503326 0.005183 0.106218 |
6 0.740336 0.537623 0.003503 0.030685 |
6 0.703567 0.536042 0.003537 0.032895 |
9 0.535178 0.540268 0.004774 0.005108 |
6 0.364375 0.501354 0.005006 0.089035 |
6 0.406439 0.498516 0.003643 0.056452 |
7 0.730622 0.412513 0.004143 0.087562 |
5 0.979263 0.801987 0.016228 0.039904 |
7 0.681530 0.453063 0.003688 0.082028 |
4 0.391279 0.397092 0.059005 0.312039 |
9 0.333896 0.730971 0.093300 0.110778 |
5 0.713847 0.505942 0.068525 0.050234 |
9 0.423735 0.611978 0.023354 0.026325 |
9 0.450751 0.576849 0.010801 0.011775 |
6 0.037149 0.512936 0.009262 0.213947 |
5 0.831323 0.778841 0.018364 0.033156 |
4 0.453425 0.445344 0.026935 0.117822 |
9 0.468426 0.552212 0.006543 0.007536 |
6 0.150502 0.510358 0.006862 0.161483 |
6 0.683265 0.548399 0.004334 0.039222 |
6 0.218684 0.508879 0.006473 0.131226 |
6 0.728022 0.548514 0.004475 0.039105 |
6 0.265330 0.508866 0.005309 0.111107 |
4 0.469757 0.472046 0.017556 0.087542 |
10 0.751926 0.428210 0.042635 0.239933 |
4 0.479980 0.479674 0.017789 0.068240 |
6 0.299134 0.508966 0.004414 0.088194 |
7 0.620239 0.456675 0.005658 0.117503 |
9 0.478646 0.538998 0.003807 0.004200 |
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ets2-object-detection-2k
This dataset containing 2000 images was annotated by an automated system, expect false negatives, false positives and wrong classes. The dataset is formatted for YOLO object detection.
Classes
0: car
1: bus
2: truck
3: stoplight
4: streetlamp
5: sign
6: short post
7: long pole
8: curved pole
9: lane line
10: tree trunk
11: bridge pier
12: traffic cone
13: traffic delineator
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