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rickysambora55
/
human-count-yolov8

Object Detection
TensorBoard
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rickysambora55 commited on
Commit
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•
1 Parent(s): 538fc14

model update

Browse files
Files changed (25) hide show
  1. runs/detect/train/args.yaml +98 -0
  2. runs/detect/train2/args.yaml +98 -0
  3. runs/detect/train2/events.out.tfevents.1716431448.916c26d82a79.6123.0 +3 -0
  4. runs/detect/train2/labels.jpg +0 -0
  5. runs/detect/train2/labels_correlogram.jpg +0 -0
  6. runs/detect/train2/train_batch0.jpg +0 -0
  7. runs/detect/train2/train_batch1.jpg +0 -0
  8. runs/detect/train2/train_batch2.jpg +0 -0
  9. runs/detect/train3/args.yaml +98 -0
  10. runs/detect/train3/events.out.tfevents.1716431689.916c26d82a79.7186.0 +3 -0
  11. runs/detect/train3/labels.jpg +0 -0
  12. runs/detect/train3/labels_correlogram.jpg +0 -0
  13. runs/detect/train3/train_batch0.jpg +0 -0
  14. runs/detect/train3/train_batch1.jpg +0 -0
  15. runs/detect/train3/train_batch2.jpg +0 -0
  16. runs/detect/train4/args.yaml +98 -0
  17. runs/detect/train4/events.out.tfevents.1716432049.916c26d82a79.8725.0 +3 -0
  18. runs/detect/train4/labels.jpg +0 -0
  19. runs/detect/train4/labels_correlogram.jpg +0 -0
  20. runs/detect/train4/results.csv +28 -0
  21. runs/detect/train4/train_batch0.jpg +0 -0
  22. runs/detect/train4/train_batch1.jpg +0 -0
  23. runs/detect/train4/train_batch2.jpg +0 -0
  24. runs/detect/train4/weights/best.pt +3 -0
  25. runs/detect/train4/weights/last.pt +3 -0
runs/detect/train/args.yaml ADDED
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+ task: detect
2
+ mode: train
3
+ model: yolov8n.pt
4
+ data: /content/datasets/Crowd-Detection-6//data.yaml
5
+ epochs: 300
6
+ patience: 50
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+ batch: 32
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+ imgsz: 640
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+ save: true
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+ save_period: -1
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+ cache: true
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+ task: detect
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+ mode: train
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+ model: yolov8n.pt
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+ data: /content/datasets/Crowd-Detection-6//data.yaml
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+ epochs: 300
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+ patience: 50
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2
+ mode: train
3
+ model: yolov8n.pt
4
+ data: /content/datasets/Crowd-Detection-6//data.yaml
5
+ epochs: 300
6
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+ 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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+ 1, 1.4442, 1.728, 1.1692, 0.88592, 0.76563, 0.85654, 0.52474, 1.3096, 1.044, 1.1546, 0.0033143, 0.0033143, 0.0033143
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+ 2, 1.3557, 1.0041, 1.0855, 0.89814, 0.80581, 0.88483, 0.54657, 1.2765, 0.83776, 1.1074, 0.0066474, 0.0066474, 0.0066474
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+ 3, 1.3595, 0.88955, 1.0639, 0.89368, 0.80663, 0.88495, 0.53423, 1.314, 0.98717, 1.1337, 0.0099799, 0.0099799, 0.0099799
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+ 4, 1.3444, 0.81439, 1.0563, 0.8917, 0.82276, 0.89283, 0.55214, 1.3052, 0.79175, 1.0982, 0.0099976, 0.0099976, 0.0099976
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+ 5, 1.3101, 0.76103, 1.0438, 0.91231, 0.83151, 0.90323, 0.56464, 1.2779, 0.6942, 1.083, 0.0099976, 0.0099976, 0.0099976
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+ 6, 1.2914, 0.73049, 1.0329, 0.92189, 0.83661, 0.90764, 0.58024, 1.2424, 0.68615, 1.0779, 0.0099957, 0.0099957, 0.0099957
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+ 7, 1.2747, 0.71315, 1.0275, 0.92636, 0.84716, 0.91565, 0.58903, 1.2428, 0.64619, 1.0605, 0.0099932, 0.0099932, 0.0099932
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+ 8, 1.2662, 0.69661, 1.0211, 0.92034, 0.84746, 0.91731, 0.59094, 1.2295, 0.66932, 1.064, 0.0099902, 0.0099902, 0.0099902
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+ 9, 1.2578, 0.68976, 1.0174, 0.93428, 0.85375, 0.92484, 0.60557, 1.2049, 0.61266, 1.0483, 0.0099867, 0.0099867, 0.0099867
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+ 10, 1.242, 0.67405, 1.0125, 0.928, 0.85602, 0.92067, 0.6013, 1.2123, 0.6349, 1.0518, 0.0099826, 0.0099826, 0.0099826
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+ 11, 1.2302, 0.66463, 1.0108, 0.93013, 0.84798, 0.9199, 0.60029, 1.2013, 0.65402, 1.0479, 0.009978, 0.009978, 0.009978
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+ 12, 1.2361, 0.66323, 1.0113, 0.93568, 0.85857, 0.92899, 0.6145, 1.1973, 0.60306, 1.0397, 0.0099729, 0.0099729, 0.0099729
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+ 13, 1.2212, 0.65037, 1.006, 0.93677, 0.86149, 0.92945, 0.60814, 1.1959, 0.59792, 1.0444, 0.0099672, 0.0099672, 0.0099672
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+ 14, 1.2208, 0.64676, 1.0033, 0.93629, 0.86377, 0.93083, 0.61052, 1.195, 0.59648, 1.0457, 0.009961, 0.009961, 0.009961
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+ 15, 1.21, 0.63671, 1.0043, 0.93671, 0.86313, 0.93046, 0.6173, 1.1861, 0.58527, 1.0404, 0.0099542, 0.0099542, 0.0099542
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+ 16, 1.216, 0.63831, 1.0025, 0.93877, 0.86336, 0.93266, 0.61578, 1.1845, 0.5749, 1.0372, 0.0099469, 0.0099469, 0.0099469
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+ 17, 1.2055, 0.63501, 0.99819, 0.94259, 0.8645, 0.93403, 0.61348, 1.1913, 0.57878, 1.0417, 0.0099391, 0.0099391, 0.0099391
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+ 18, 1.2053, 0.63166, 0.99859, 0.93916, 0.86814, 0.9343, 0.61712, 1.1864, 0.57439, 1.0447, 0.0099307, 0.0099307, 0.0099307
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+ 19, 1.1988, 0.62725, 0.99717, 0.93808, 0.87024, 0.93514, 0.62097, 1.1843, 0.56639, 1.0415, 0.0099218, 0.0099218, 0.0099218
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+ 20, 1.1929, 0.61787, 0.99316, 0.94341, 0.86523, 0.9328, 0.61746, 1.1944, 0.56933, 1.0437, 0.0099123, 0.0099123, 0.0099123
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+ 21, 1.1952, 0.61733, 0.99099, 0.94315, 0.86359, 0.93268, 0.61582, 1.1836, 0.57302, 1.0365, 0.0099023, 0.0099023, 0.0099023
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+ 22, 1.1859, 0.6138, 0.98969, 0.93922, 0.8674, 0.93499, 0.6205, 1.1818, 0.56504, 1.041, 0.0098918, 0.0098918, 0.0098918
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+ 23, 1.1861, 0.61529, 0.99249, 0.93933, 0.8758, 0.9367, 0.6237, 1.1765, 0.55941, 1.0299, 0.0098808, 0.0098808, 0.0098808
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+ 24, 1.1843, 0.61248, 0.98994, 0.93964, 0.87407, 0.93791, 0.62489, 1.1663, 0.55183, 1.0237, 0.0098692, 0.0098692, 0.0098692
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