Upload 21 files
#1
by
atticus-carter
- opened
- F1_curve.png +0 -0
- PR_curve.png +0 -0
- P_curve.png +0 -0
- R_curve.png +0 -0
- args.yaml +10 -11
- best.pt +2 -2
- confusion_matrix.png +0 -0
- confusion_matrix_normalized.png +0 -0
- labels.jpg +0 -0
- labels_correlogram.jpg +0 -0
- results.csv +137 -0
- results.png +0 -0
- train_batch0.jpg +0 -0
- train_batch1.jpg +0 -0
- train_batch2.jpg +0 -0
- val_batch0_labels.jpg +0 -0
- val_batch0_pred.jpg +0 -0
- val_batch1_labels.jpg +0 -0
- val_batch1_pred.jpg +0 -0
- val_batch2_labels.jpg +0 -0
- val_batch2_pred.jpg +0 -0
F1_curve.png
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PR_curve.png
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P_curve.png
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R_curve.png
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args.yaml
CHANGED
@@ -1,22 +1,22 @@
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task: detect
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mode: train
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model:
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data: C:\Users\
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epochs:
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time: null
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patience:
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batch: 8
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imgsz: 1024
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save: true
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save_period: -1
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cache: false
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device: 0
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workers: 8
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project:
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name:
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exist_ok: false
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pretrained: true
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optimizer:
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verbose: true
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seed: 0
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deterministic: true
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@@ -66,7 +66,7 @@ keras: false
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optimize: false
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int8: false
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dynamic: false
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simplify:
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opset: null
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workspace: 4
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nms: false
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mosaic: 1.0
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mixup: 0.0
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copy_paste: 0.0
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copy_paste_mode: flip
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auto_augment: randaugment
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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:
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task: detect
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mode: train
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model: C:\Users\Student\Documents\SHR_Digital_Still_Camera\Models\mbari_315k_yolov8.pt
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data: C:\Users\Student\Documents\SHR_Digital_Still_Camera\shr.v3i.yolov11\data.yaml
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epochs: 200
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time: null
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patience: 50
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batch: 8
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imgsz: 1024
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save: true
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save_period: -1
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cache: false
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device: '0'
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workers: 8
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project: finetune_yolov8
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name: shr_finetune2
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exist_ok: false
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pretrained: true
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optimizer: AdamW
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verbose: true
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seed: 0
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deterministic: true
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optimize: false
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int8: false
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dynamic: false
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simplify: false
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opset: null
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workspace: 4
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nms: false
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mosaic: 1.0
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mixup: 0.0
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copy_paste: 0.0
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auto_augment: randaugment
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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: finetune_yolov8\shr_finetune2
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best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4221d1bc16ee7fc5997c305cc3245b740b54bc61efbd1078ee49025f61739d0
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size 136841779
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confusion_matrix.png
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confusion_matrix_normalized.png
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labels.jpg
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labels_correlogram.jpg
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results.csv
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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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70 |
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71 |
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72 |
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73 |
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77 |
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78 |
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79 |
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80 |
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81 |
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82 |
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83 |
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84 |
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85 |
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86 |
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87 |
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88 |
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89 |
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90 |
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91 |
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92 |
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|
93 |
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|
94 |
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95 |
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96 |
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97 |
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98 |
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|
99 |
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100 |
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101 |
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100, 0.94273, 0.58753, 0.97347, 0.6111, 0.65472, 0.62581, 0.35431, 1.2314, 0.76352, 1.1074, 0.0050995, 0.0050995, 0.0050995
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102 |
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|
103 |
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102, 0.94741, 0.58429, 0.98333, 0.5184, 0.66764, 0.59391, 0.34945, 1.2759, 0.77046, 1.1328, 0.0050005, 0.0050005, 0.0050005
|
104 |
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103, 0.97717, 0.59354, 1.0014, 0.59431, 0.65783, 0.6175, 0.36063, 1.2331, 0.77478, 1.1051, 0.004951, 0.004951, 0.004951
|
105 |
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104, 0.92345, 0.58401, 0.96409, 0.50185, 0.64773, 0.58259, 0.35039, 1.2043, 0.7671, 1.0981, 0.0049015, 0.0049015, 0.0049015
|
106 |
+
105, 0.92819, 0.55965, 0.96089, 0.54818, 0.69119, 0.6017, 0.36962, 1.2624, 0.77994, 1.1242, 0.004852, 0.004852, 0.004852
|
107 |
+
106, 0.9236, 0.55824, 0.96284, 0.56062, 0.6694, 0.60196, 0.35528, 1.229, 0.75395, 1.1065, 0.0048025, 0.0048025, 0.0048025
|
108 |
+
107, 0.93012, 0.56707, 0.9671, 0.54714, 0.6887, 0.59168, 0.36691, 1.2405, 0.77521, 1.1111, 0.004753, 0.004753, 0.004753
|
109 |
+
108, 0.89517, 0.55888, 0.95785, 0.57816, 0.6583, 0.58929, 0.35262, 1.2326, 0.75072, 1.1093, 0.0047035, 0.0047035, 0.0047035
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110 |
+
109, 0.91475, 0.5582, 0.95141, 0.54699, 0.67035, 0.60471, 0.35666, 1.2325, 0.77767, 1.1115, 0.004654, 0.004654, 0.004654
|
111 |
+
110, 0.90527, 0.56872, 0.95696, 0.54965, 0.66735, 0.58893, 0.35453, 1.2209, 0.76105, 1.1105, 0.0046045, 0.0046045, 0.0046045
|
112 |
+
111, 0.92186, 0.56842, 0.96848, 0.53412, 0.64478, 0.58215, 0.34336, 1.2379, 0.76428, 1.1155, 0.004555, 0.004555, 0.004555
|
113 |
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112, 0.89822, 0.54969, 0.95504, 0.51636, 0.72274, 0.58972, 0.35368, 1.2688, 0.7617, 1.1268, 0.0045055, 0.0045055, 0.0045055
|
114 |
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115 |
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114, 0.88361, 0.53595, 0.95751, 0.50892, 0.64406, 0.57658, 0.35398, 1.2463, 0.78398, 1.1237, 0.0044065, 0.0044065, 0.0044065
|
116 |
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115, 0.88592, 0.54443, 0.95202, 0.51957, 0.64171, 0.59414, 0.36489, 1.2344, 0.77958, 1.1187, 0.004357, 0.004357, 0.004357
|
117 |
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116, 0.88565, 0.54208, 0.96409, 0.61006, 0.62003, 0.60497, 0.37562, 1.2492, 0.76376, 1.1214, 0.0043075, 0.0043075, 0.0043075
|
118 |
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117, 0.88594, 0.5287, 0.95054, 0.52785, 0.67595, 0.59691, 0.36007, 1.2512, 0.79712, 1.1146, 0.004258, 0.004258, 0.004258
|
119 |
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118, 0.86053, 0.5168, 0.94014, 0.53948, 0.70858, 0.59934, 0.35992, 1.2451, 0.78097, 1.1238, 0.0042085, 0.0042085, 0.0042085
|
120 |
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119, 0.86738, 0.52661, 0.94277, 0.51708, 0.67074, 0.58844, 0.36255, 1.2826, 0.79602, 1.1398, 0.004159, 0.004159, 0.004159
|
121 |
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120, 0.86476, 0.54179, 0.93842, 0.55228, 0.6226, 0.57767, 0.35339, 1.2508, 0.77, 1.1211, 0.0041095, 0.0041095, 0.0041095
|
122 |
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121, 0.86639, 0.52692, 0.94649, 0.52285, 0.65476, 0.57081, 0.34494, 1.2489, 0.7941, 1.1317, 0.00406, 0.00406, 0.00406
|
123 |
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122, 0.86715, 0.51573, 0.94393, 0.53156, 0.66826, 0.59913, 0.358, 1.2556, 0.77681, 1.1287, 0.0040105, 0.0040105, 0.0040105
|
124 |
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123, 0.85216, 0.50685, 0.94035, 0.6346, 0.61503, 0.5889, 0.33814, 1.2465, 0.80444, 1.1261, 0.003961, 0.003961, 0.003961
|
125 |
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124, 0.85157, 0.52396, 0.94792, 0.52402, 0.67498, 0.59223, 0.34263, 1.2649, 0.79386, 1.125, 0.0039115, 0.0039115, 0.0039115
|
126 |
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125, 0.86374, 0.51225, 0.94944, 0.62038, 0.62327, 0.61195, 0.36244, 1.2839, 0.76824, 1.147, 0.003862, 0.003862, 0.003862
|
127 |
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126, 0.86133, 0.51515, 0.9593, 0.53991, 0.67766, 0.59703, 0.35696, 1.2535, 0.77438, 1.1317, 0.0038125, 0.0038125, 0.0038125
|
128 |
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127, 0.82354, 0.50373, 0.93643, 0.50078, 0.65229, 0.58035, 0.34705, 1.2433, 0.77919, 1.1289, 0.003763, 0.003763, 0.003763
|
129 |
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128, 0.84145, 0.49964, 0.92922, 0.63822, 0.61814, 0.59692, 0.36739, 1.2366, 0.78049, 1.1277, 0.0037135, 0.0037135, 0.0037135
|
130 |
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129, 0.83858, 0.49371, 0.92741, 0.53511, 0.66181, 0.58405, 0.35441, 1.2318, 0.80065, 1.12, 0.003664, 0.003664, 0.003664
|
131 |
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130, 0.80545, 0.4836, 0.92393, 0.63646, 0.54876, 0.5536, 0.32659, 1.2774, 0.79781, 1.1451, 0.0036145, 0.0036145, 0.0036145
|
132 |
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131, 0.82718, 0.48827, 0.93721, 0.52446, 0.6224, 0.57055, 0.31513, 1.261, 0.78859, 1.1421, 0.003565, 0.003565, 0.003565
|
133 |
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132, 0.79526, 0.4721, 0.91248, 0.48924, 0.57626, 0.566, 0.34265, 1.2338, 0.79943, 1.1311, 0.0035155, 0.0035155, 0.0035155
|
134 |
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133, 0.81557, 0.47992, 0.9237, 0.53388, 0.67182, 0.55609, 0.34181, 1.2537, 0.82199, 1.1332, 0.003466, 0.003466, 0.003466
|
135 |
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134, 0.7841, 0.47091, 0.91541, 0.44784, 0.60018, 0.5185, 0.30457, 1.2646, 0.84216, 1.1408, 0.0034165, 0.0034165, 0.0034165
|
136 |
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135, 0.81457, 0.4837, 0.92792, 0.5455, 0.63983, 0.56469, 0.35194, 1.2297, 0.80423, 1.1226, 0.003367, 0.003367, 0.003367
|
137 |
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136, 0.79703, 0.47849, 0.91986, 0.54438, 0.7069, 0.6048, 0.37044, 1.2374, 0.8003, 1.13, 0.0033175, 0.0033175, 0.0033175
|
results.png
CHANGED
train_batch0.jpg
ADDED
train_batch1.jpg
ADDED
train_batch2.jpg
ADDED
val_batch0_labels.jpg
ADDED
val_batch0_pred.jpg
ADDED
val_batch1_labels.jpg
CHANGED
val_batch1_pred.jpg
CHANGED
val_batch2_labels.jpg
ADDED
val_batch2_pred.jpg
ADDED