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Initial commit: Recycling object detection project

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- Added Fast api web application for recycling object detection
- Included YOLOv8 model training notebook
- Set up project structure with datasets and training directories
- Added requirements.txt for dependencies
- Configured .gitignore for Python virtual environment and cache files
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boladeE
2025-04-23 19:18:05 +01:00
commit a6e52f8ad0
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datasets/runs/detect/train3/results.csv
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epoch,time,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
1,5.67823,2.39502,3.74233,2.28906,0.01111,0.83333,0.01388,0.00519,1.8298,3.20789,1.89118,0,0,0
2,16.288,2.55022,3.75033,2.33099,0.01167,0.875,0.01903,0.00579,1.73516,3.21125,1.83719,1.9604e-05,1.9604e-05,1.9604e-05
3,28.6503,2.38719,3.79239,2.28421,0.01167,0.875,0.01923,0.00684,1.62975,3.19063,1.76571,3.8416e-05,3.8416e-05,3.8416e-05
4,37.485,2.09943,3.48603,2.07603,0.01222,0.91667,0.02303,0.00844,1.57125,3.15184,1.69627,5.6436e-05,5.6436e-05,5.6436e-05
5,44.7992,2.12103,3.59398,2.07602,0.01278,0.95833,0.02936,0.01108,1.42444,3.1487,1.60115,7.3664e-05,7.3664e-05,7.3664e-05
6,52.1135,1.95239,3.41935,1.81496,0.01278,0.95833,0.04007,0.01562,1.38235,3.06553,1.50544,9.01e-05,9.01e-05,9.01e-05
7,59.9676,1.67583,3.28295,1.73853,0.01333,1,0.05015,0.02544,1.30467,3.02673,1.44765,0.000105744,0.000105744,0.000105744
8,67.8769,1.62765,3.02834,1.56366,0.01333,1,0.10045,0.04397,1.26542,2.94541,1.40131,0.000120596,0.000120596,0.000120596
9,74.6889,1.81498,3.01087,1.61769,0.01333,1,0.17666,0.07956,1.2281,2.94119,1.38457,0.000134656,0.000134656,0.000134656
10,82.6138,1.55792,2.75754,1.52268,0.01333,1,0.21511,0.11338,1.29935,2.89992,1.3765,0.000147924,0.000147924,0.000147924
11,89.8498,1.51641,2.49421,1.47669,0.01333,1,0.26881,0.13278,1.27645,2.85958,1.32994,0.0001604,0.0001604,0.0001604
12,96.4754,1.51184,2.30713,1.41096,0.01333,1,0.31061,0.1674,1.25121,2.8077,1.28717,0.000172084,0.000172084,0.000172084
13,103.321,1.51602,2.00888,1.40129,0.01333,1,0.4757,0.24692,1.2561,2.66198,1.25275,0.000182976,0.000182976,0.000182976
14,109.856,1.37113,1.66197,1.25801,0.01333,1,0.41803,0.22915,1.33355,2.60968,1.30747,0.000193076,0.000193076,0.000193076
15,116.622,1.45391,1.59786,1.37029,0.03362,0.875,0.40816,0.21489,1.36121,2.51034,1.30125,0.000202384,0.000202384,0.000202384
16,123.203,1.39235,1.5949,1.29785,0.33903,0.5,0.4044,0.23843,1.30273,2.48562,1.29281,0.0002109,0.0002109,0.0002109
17,129.845,1.31418,1.49078,1.21216,0.38404,0.375,0.40322,0.23121,1.30583,2.48418,1.32533,0.000218624,0.000218624,0.000218624
18,136.557,1.5303,1.67169,1.35183,0.38404,0.375,0.40322,0.23121,1.30583,2.48418,1.32533,0.000225556,0.000225556,0.000225556
19,143.939,1.39993,1.74236,1.39831,0.0363,0.83333,0.50162,0.2658,1.29758,2.55769,1.43345,0.000231696,0.000231696,0.000231696
20,152.008,1.39252,1.54489,1.34648,0.0363,0.83333,0.50162,0.2658,1.29758,2.55769,1.43345,0.000237044,0.000237044,0.000237044
21,159.595,1.30629,1.43423,1.31285,0.01333,1,0.41838,0.21308,1.26632,2.73525,1.48731,0.0002416,0.0002416,0.0002416
22,167.285,1.38586,1.38663,1.28934,0.01333,1,0.41838,0.21308,1.26632,2.73525,1.48731,0.000245364,0.000245364,0.000245364
23,174.209,1.46137,1.52123,1.29602,0.01333,1,0.33787,0.17736,1.27755,2.86772,1.51195,0.000248336,0.000248336,0.000248336
24,180.8,1.40314,1.38524,1.25211,0.01333,1,0.33787,0.17736,1.27755,2.86772,1.51195,0.000250516,0.000250516,0.000250516
25,188.171,1.52506,1.46222,1.28968,0.01333,1,0.26607,0.17632,1.26241,2.92442,1.52792,0.000251904,0.000251904,0.000251904
26,194.513,1.33243,1.39899,1.15744,0.01333,1,0.26607,0.17632,1.26241,2.92442,1.52792,0.0002525,0.0002525,0.0002525
27,201.199,1.2929,1.33615,1.17835,0.01333,1,0.36076,0.23671,1.21156,2.89447,1.50917,0.000252304,0.000252304,0.000252304
28,207.796,1.38689,1.49024,1.3356,0.01333,1,0.36076,0.23671,1.21156,2.89447,1.50917,0.000251316,0.000251316,0.000251316
29,214.328,1.37361,1.46786,1.18527,0.01333,1,0.39021,0.23898,1.23804,2.90968,1.55469,0.000249536,0.000249536,0.000249536
30,221.711,1.27135,1.33555,1.16232,0.01333,1,0.39021,0.23898,1.23804,2.90968,1.55469,0.000246964,0.000246964,0.000246964
31,228.398,1.29587,1.38724,1.15838,0.01333,1,0.2754,0.18092,1.34405,2.90785,1.58436,0.0002436,0.0002436,0.0002436
32,235.104,1.2612,1.30351,1.13205,0.01333,1,0.2754,0.18092,1.34405,2.90785,1.58436,0.000239444,0.000239444,0.000239444
33,242.491,1.31623,1.30861,1.13295,0.01278,0.95833,0.32768,0.17477,1.41444,2.90286,1.59092,0.000234496,0.000234496,0.000234496
34,249.752,1.28537,1.25581,1.22603,0.01278,0.95833,0.32768,0.17477,1.41444,2.90286,1.59092,0.000228756,0.000228756,0.000228756
35,256.439,1.27605,1.22113,1.18731,0.01278,0.95833,0.30914,0.15393,1.44597,2.95759,1.62449,0.000222224,0.000222224,0.000222224
36,263.426,1.14524,1.16995,1.09065,0.01278,0.95833,0.30914,0.15393,1.44597,2.95759,1.62449,0.0002149,0.0002149,0.0002149
37,270.316,1.13138,1.10565,1.16992,0.01333,1,0.31294,0.14219,1.42966,2.99147,1.65039,0.000206784,0.000206784,0.000206784
38,277.747,1.18014,1.23762,1.17946,0.01333,1,0.31294,0.14219,1.42966,2.99147,1.65039,0.000197876,0.000197876,0.000197876
39,285.394,1.15402,1.25401,1.1634,0.01278,0.95833,0.29555,0.15313,1.38078,2.9779,1.64063,0.000188176,0.000188176,0.000188176
40,293.396,1.14982,1.1206,1.17784,0.01278,0.95833,0.29555,0.15313,1.38078,2.9779,1.64063,0.000177684,0.000177684,0.000177684
41,300.699,1.11075,1.43055,1.11889,0.01333,1,0.30395,0.17321,1.3201,2.86638,1.56272,0.0001664,0.0001664,0.0001664
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43,313.482,1.04451,1.35932,1.13138,1,0.36287,0.48233,0.25656,1.25244,2.78164,1.51545,0.000141456,0.000141456,0.000141456
44,319.675,1.01778,1.20135,1.09701,1,0.36287,0.48233,0.25656,1.25244,2.78164,1.51545,0.000127796,0.000127796,0.000127796
45,326.458,0.98534,1.24686,1.10526,1,0.22952,0.49823,0.28839,1.20318,2.69778,1.47186,0.000113344,0.000113344,0.000113344
46,334.542,1.09942,1.26626,1.06372,1,0.22952,0.49823,0.28839,1.20318,2.69778,1.47186,9.81e-05,9.81e-05,9.81e-05
47,341.23,1.01347,1.19968,1.07937,1,0.16199,0.55856,0.31857,1.15047,2.61299,1.42365,8.2064e-05,8.2064e-05,8.2064e-05
48,347.914,1.02152,1.2012,1.07213,1,0.16199,0.55856,0.31857,1.15047,2.61299,1.42365,6.5236e-05,6.5236e-05,6.5236e-05
49,354.903,0.92922,1.16594,1.03896,1,0.16688,0.65621,0.38721,1.1464,2.54556,1.38359,4.7616e-05,4.7616e-05,4.7616e-05
50,361.006,0.97048,1.14546,1.05849,1,0.16688,0.65621,0.38721,1.1464,2.54556,1.38359,2.9204e-05,2.9204e-05,2.9204e-05
1 epoch time 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
2 1 5.67823 2.39502 3.74233 2.28906 0.01111 0.83333 0.01388 0.00519 1.8298 3.20789 1.89118 0 0 0
3 2 16.288 2.55022 3.75033 2.33099 0.01167 0.875 0.01903 0.00579 1.73516 3.21125 1.83719 1.9604e-05 1.9604e-05 1.9604e-05
4 3 28.6503 2.38719 3.79239 2.28421 0.01167 0.875 0.01923 0.00684 1.62975 3.19063 1.76571 3.8416e-05 3.8416e-05 3.8416e-05
5 4 37.485 2.09943 3.48603 2.07603 0.01222 0.91667 0.02303 0.00844 1.57125 3.15184 1.69627 5.6436e-05 5.6436e-05 5.6436e-05
6 5 44.7992 2.12103 3.59398 2.07602 0.01278 0.95833 0.02936 0.01108 1.42444 3.1487 1.60115 7.3664e-05 7.3664e-05 7.3664e-05
7 6 52.1135 1.95239 3.41935 1.81496 0.01278 0.95833 0.04007 0.01562 1.38235 3.06553 1.50544 9.01e-05 9.01e-05 9.01e-05
8 7 59.9676 1.67583 3.28295 1.73853 0.01333 1 0.05015 0.02544 1.30467 3.02673 1.44765 0.000105744 0.000105744 0.000105744
9 8 67.8769 1.62765 3.02834 1.56366 0.01333 1 0.10045 0.04397 1.26542 2.94541 1.40131 0.000120596 0.000120596 0.000120596
10 9 74.6889 1.81498 3.01087 1.61769 0.01333 1 0.17666 0.07956 1.2281 2.94119 1.38457 0.000134656 0.000134656 0.000134656
11 10 82.6138 1.55792 2.75754 1.52268 0.01333 1 0.21511 0.11338 1.29935 2.89992 1.3765 0.000147924 0.000147924 0.000147924
12 11 89.8498 1.51641 2.49421 1.47669 0.01333 1 0.26881 0.13278 1.27645 2.85958 1.32994 0.0001604 0.0001604 0.0001604
13 12 96.4754 1.51184 2.30713 1.41096 0.01333 1 0.31061 0.1674 1.25121 2.8077 1.28717 0.000172084 0.000172084 0.000172084
14 13 103.321 1.51602 2.00888 1.40129 0.01333 1 0.4757 0.24692 1.2561 2.66198 1.25275 0.000182976 0.000182976 0.000182976
15 14 109.856 1.37113 1.66197 1.25801 0.01333 1 0.41803 0.22915 1.33355 2.60968 1.30747 0.000193076 0.000193076 0.000193076
16 15 116.622 1.45391 1.59786 1.37029 0.03362 0.875 0.40816 0.21489 1.36121 2.51034 1.30125 0.000202384 0.000202384 0.000202384
17 16 123.203 1.39235 1.5949 1.29785 0.33903 0.5 0.4044 0.23843 1.30273 2.48562 1.29281 0.0002109 0.0002109 0.0002109
18 17 129.845 1.31418 1.49078 1.21216 0.38404 0.375 0.40322 0.23121 1.30583 2.48418 1.32533 0.000218624 0.000218624 0.000218624
19 18 136.557 1.5303 1.67169 1.35183 0.38404 0.375 0.40322 0.23121 1.30583 2.48418 1.32533 0.000225556 0.000225556 0.000225556
20 19 143.939 1.39993 1.74236 1.39831 0.0363 0.83333 0.50162 0.2658 1.29758 2.55769 1.43345 0.000231696 0.000231696 0.000231696
21 20 152.008 1.39252 1.54489 1.34648 0.0363 0.83333 0.50162 0.2658 1.29758 2.55769 1.43345 0.000237044 0.000237044 0.000237044
22 21 159.595 1.30629 1.43423 1.31285 0.01333 1 0.41838 0.21308 1.26632 2.73525 1.48731 0.0002416 0.0002416 0.0002416
23 22 167.285 1.38586 1.38663 1.28934 0.01333 1 0.41838 0.21308 1.26632 2.73525 1.48731 0.000245364 0.000245364 0.000245364
24 23 174.209 1.46137 1.52123 1.29602 0.01333 1 0.33787 0.17736 1.27755 2.86772 1.51195 0.000248336 0.000248336 0.000248336
25 24 180.8 1.40314 1.38524 1.25211 0.01333 1 0.33787 0.17736 1.27755 2.86772 1.51195 0.000250516 0.000250516 0.000250516
26 25 188.171 1.52506 1.46222 1.28968 0.01333 1 0.26607 0.17632 1.26241 2.92442 1.52792 0.000251904 0.000251904 0.000251904
27 26 194.513 1.33243 1.39899 1.15744 0.01333 1 0.26607 0.17632 1.26241 2.92442 1.52792 0.0002525 0.0002525 0.0002525
28 27 201.199 1.2929 1.33615 1.17835 0.01333 1 0.36076 0.23671 1.21156 2.89447 1.50917 0.000252304 0.000252304 0.000252304
29 28 207.796 1.38689 1.49024 1.3356 0.01333 1 0.36076 0.23671 1.21156 2.89447 1.50917 0.000251316 0.000251316 0.000251316
30 29 214.328 1.37361 1.46786 1.18527 0.01333 1 0.39021 0.23898 1.23804 2.90968 1.55469 0.000249536 0.000249536 0.000249536
31 30 221.711 1.27135 1.33555 1.16232 0.01333 1 0.39021 0.23898 1.23804 2.90968 1.55469 0.000246964 0.000246964 0.000246964
32 31 228.398 1.29587 1.38724 1.15838 0.01333 1 0.2754 0.18092 1.34405 2.90785 1.58436 0.0002436 0.0002436 0.0002436
33 32 235.104 1.2612 1.30351 1.13205 0.01333 1 0.2754 0.18092 1.34405 2.90785 1.58436 0.000239444 0.000239444 0.000239444
34 33 242.491 1.31623 1.30861 1.13295 0.01278 0.95833 0.32768 0.17477 1.41444 2.90286 1.59092 0.000234496 0.000234496 0.000234496
35 34 249.752 1.28537 1.25581 1.22603 0.01278 0.95833 0.32768 0.17477 1.41444 2.90286 1.59092 0.000228756 0.000228756 0.000228756
36 35 256.439 1.27605 1.22113 1.18731 0.01278 0.95833 0.30914 0.15393 1.44597 2.95759 1.62449 0.000222224 0.000222224 0.000222224
37 36 263.426 1.14524 1.16995 1.09065 0.01278 0.95833 0.30914 0.15393 1.44597 2.95759 1.62449 0.0002149 0.0002149 0.0002149
38 37 270.316 1.13138 1.10565 1.16992 0.01333 1 0.31294 0.14219 1.42966 2.99147 1.65039 0.000206784 0.000206784 0.000206784
39 38 277.747 1.18014 1.23762 1.17946 0.01333 1 0.31294 0.14219 1.42966 2.99147 1.65039 0.000197876 0.000197876 0.000197876
40 39 285.394 1.15402 1.25401 1.1634 0.01278 0.95833 0.29555 0.15313 1.38078 2.9779 1.64063 0.000188176 0.000188176 0.000188176
41 40 293.396 1.14982 1.1206 1.17784 0.01278 0.95833 0.29555 0.15313 1.38078 2.9779 1.64063 0.000177684 0.000177684 0.000177684
42 41 300.699 1.11075 1.43055 1.11889 0.01333 1 0.30395 0.17321 1.3201 2.86638 1.56272 0.0001664 0.0001664 0.0001664
43 42 307.108 1.01372 1.31437 1.10605 0.01333 1 0.30395 0.17321 1.3201 2.86638 1.56272 0.000154324 0.000154324 0.000154324
44 43 313.482 1.04451 1.35932 1.13138 1 0.36287 0.48233 0.25656 1.25244 2.78164 1.51545 0.000141456 0.000141456 0.000141456
45 44 319.675 1.01778 1.20135 1.09701 1 0.36287 0.48233 0.25656 1.25244 2.78164 1.51545 0.000127796 0.000127796 0.000127796
46 45 326.458 0.98534 1.24686 1.10526 1 0.22952 0.49823 0.28839 1.20318 2.69778 1.47186 0.000113344 0.000113344 0.000113344
47 46 334.542 1.09942 1.26626 1.06372 1 0.22952 0.49823 0.28839 1.20318 2.69778 1.47186 9.81e-05 9.81e-05 9.81e-05
48 47 341.23 1.01347 1.19968 1.07937 1 0.16199 0.55856 0.31857 1.15047 2.61299 1.42365 8.2064e-05 8.2064e-05 8.2064e-05
49 48 347.914 1.02152 1.2012 1.07213 1 0.16199 0.55856 0.31857 1.15047 2.61299 1.42365 6.5236e-05 6.5236e-05 6.5236e-05
50 49 354.903 0.92922 1.16594 1.03896 1 0.16688 0.65621 0.38721 1.1464 2.54556 1.38359 4.7616e-05 4.7616e-05 4.7616e-05
51 50 361.006 0.97048 1.14546 1.05849 1 0.16688 0.65621 0.38721 1.1464 2.54556 1.38359 2.9204e-05 2.9204e-05 2.9204e-05