Upload 32 files
Browse files- .gitattributes +1 -0
- train/BoxF1_curve.png +0 -0
- train/BoxPR_curve.png +0 -0
- train/BoxP_curve.png +0 -0
- train/BoxR_curve.png +0 -0
- train/MaskF1_curve.png +0 -0
- train/MaskPR_curve.png +0 -0
- train/MaskP_curve.png +0 -0
- train/MaskR_curve.png +0 -0
- train/args.yaml +107 -0
- train/confusion_matrix.png +0 -0
- train/confusion_matrix_normalized.png +0 -0
- train/events.out.tfevents.1728335683.9839c7bb0a99.805.0 +3 -0
- train/labels.jpg +0 -0
- train/labels_correlogram.jpg +0 -0
- train/results.csv +51 -0
- train/results.png +0 -0
- train/train_batch0.jpg +0 -0
- train/train_batch1.jpg +0 -0
- train/train_batch2.jpg +0 -0
- train/train_batch3720.jpg +0 -0
- train/train_batch3721.jpg +0 -0
- train/train_batch3722.jpg +0 -0
- train/val_batch0_labels.jpg +0 -0
- train/val_batch0_pred.jpg +0 -0
- train/val_batch1_labels.jpg +0 -0
- train/val_batch1_pred.jpg +0 -0
- train/val_batch2_labels.jpg +0 -0
- train/val_batch2_pred.jpg +0 -0
- train/weights/best.pt +3 -0
- train/weights/last.pt +3 -0
- yolo11n-seg-fish-trained.pt +3 -0
- yolo11n-seg.gif +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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yolo11n-seg.gif filter=lfs diff=lfs merge=lfs -text
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train/BoxF1_curve.png
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train/BoxPR_curve.png
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train/BoxP_curve.png
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train/BoxR_curve.png
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train/MaskF1_curve.png
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train/MaskPR_curve.png
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train/MaskP_curve.png
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train/MaskR_curve.png
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train/args.yaml
ADDED
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task: segment
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mode: train
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model: yolo11n-seg.pt
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data: /content/fish_seg_dataset.yaml
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epochs: 50
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time: null
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patience: 100
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batch: 16
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split: val
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workspace: 4
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nms: false
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lr0: 0.001
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lrf: 0.01
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momentum: 0.937
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weight_decay: 0.0005
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warmup_epochs: 3.0
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warmup_momentum: 0.8
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warmup_bias_lr: 0.1
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box: 7.5
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cls: 0.5
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dfl: 1.5
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pose: 12.0
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kobj: 1.0
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label_smoothing: 0.0
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nbs: 64
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erasing: 0.4
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crop_fraction: 1.0
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cfg: null
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tracker: botsort.yaml
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save_dir: runs/segment/train
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train/confusion_matrix.png
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train/confusion_matrix_normalized.png
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train/events.out.tfevents.1728335683.9839c7bb0a99.805.0
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version https://git-lfs.github.com/spec/v1
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size 369831
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train/labels.jpg
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train/labels_correlogram.jpg
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train/results.csv
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epoch, train/box_loss, train/seg_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), metrics/precision(M), metrics/recall(M), metrics/mAP50(M), metrics/mAP50-95(M), val/box_loss, val/seg_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2
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37, 0.68324, 0.78535, 0.6734, 0.8735, 0.84933, 0.81705, 0.90039, 0.70646, 0.85012, 0.81497, 0.89048, 0.61067, 0.76407, 1.0041, 0.70446, 0.89874, 0.0005744, 0.0005744, 0.0005744
|
39 |
+
38, 0.67981, 0.8166, 0.67134, 0.86969, 0.84761, 0.77339, 0.89134, 0.69257, 0.85539, 0.77131, 0.88727, 0.60207, 0.78835, 1.132, 0.73067, 0.89788, 0.0005348, 0.0005348, 0.0005348
|
40 |
+
39, 0.67359, 0.81226, 0.66749, 0.86991, 0.84529, 0.79418, 0.89584, 0.69845, 0.84216, 0.77547, 0.88012, 0.59507, 0.78475, 1.13, 0.70427, 0.89392, 0.0004952, 0.0004952, 0.0004952
|
41 |
+
40, 0.65663, 0.81013, 0.64708, 0.86751, 0.84237, 0.81103, 0.8978, 0.71852, 0.83373, 0.80272, 0.88899, 0.63009, 0.73187, 0.94543, 0.66649, 0.88921, 0.0004556, 0.0004556, 0.0004556
|
42 |
+
41, 0.64142, 0.79722, 0.64417, 0.85333, 0.84069, 0.82536, 0.89875, 0.71867, 0.84705, 0.8316, 0.90311, 0.60921, 0.69416, 0.98103, 0.66194, 0.8819, 0.000416, 0.000416, 0.000416
|
43 |
+
42, 0.62102, 0.75933, 0.64011, 0.85073, 0.86772, 0.80249, 0.89924, 0.74168, 0.86997, 0.80457, 0.89638, 0.61304, 0.646, 0.87011, 0.68518, 0.86863, 0.0003764, 0.0003764, 0.0003764
|
44 |
+
43, 0.6069, 0.73267, 0.62371, 0.85501, 0.83573, 0.81442, 0.89458, 0.73795, 0.83143, 0.79981, 0.87732, 0.60391, 0.6561, 0.87884, 0.68161, 0.8814, 0.0003368, 0.0003368, 0.0003368
|
45 |
+
44, 0.58494, 0.73093, 0.61359, 0.84736, 0.84658, 0.80303, 0.90719, 0.75154, 0.85812, 0.7921, 0.89992, 0.62371, 0.63866, 0.84058, 0.6437, 0.87402, 0.0002972, 0.0002972, 0.0002972
|
46 |
+
45, 0.57746, 0.73389, 0.61069, 0.84335, 0.83905, 0.82121, 0.91038, 0.75587, 0.84545, 0.82536, 0.91307, 0.63763, 0.63547, 0.79355, 0.63799, 0.87029, 0.0002576, 0.0002576, 0.0002576
|
47 |
+
46, 0.58083, 0.70004, 0.6014, 0.84875, 0.85539, 0.83784, 0.91005, 0.7503, 0.85555, 0.83368, 0.90529, 0.62846, 0.64953, 0.89492, 0.65426, 0.87693, 0.000218, 0.000218, 0.000218
|
48 |
+
47, 0.57283, 0.71877, 0.58759, 0.84416, 0.85442, 0.82744, 0.90743, 0.75255, 0.85905, 0.82952, 0.90601, 0.62593, 0.62917, 0.79204, 0.6382, 0.87372, 0.0001784, 0.0001784, 0.0001784
|
49 |
+
48, 0.56094, 0.70539, 0.57692, 0.84046, 0.86826, 0.82536, 0.91414, 0.76279, 0.86826, 0.82536, 0.90988, 0.64397, 0.62686, 0.80126, 0.6229, 0.87639, 0.0001388, 0.0001388, 0.0001388
|
50 |
+
49, 0.54992, 0.68891, 0.55815, 0.84118, 0.86332, 0.81289, 0.90625, 0.76698, 0.87152, 0.81913, 0.90567, 0.64469, 0.61338, 0.78897, 0.63158, 0.86774, 9.92e-05, 9.92e-05, 9.92e-05
|
51 |
+
50, 0.54355, 0.67228, 0.55954, 0.84253, 0.88058, 0.82744, 0.91263, 0.76181, 0.8828, 0.82952, 0.91154, 0.64558, 0.61629, 0.82249, 0.61876, 0.87684, 5.96e-05, 5.96e-05, 5.96e-05
|
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