Upload 22 files
Browse files- .gitattributes +18 -0
- F1_curve.png +3 -0
- PR_curve.png +3 -0
- P_curve.png +3 -0
- R_curve.png +3 -0
- args.yaml +105 -0
- confusion_matrix.png +3 -0
- confusion_matrix_normalized.png +3 -0
- cs2-yolo12m-weapon-detection.pt +3 -0
- events.out.tfevents.1744295279.b4997d020644.1806.0 +3 -0
- labels.jpg +3 -0
- labels_correlogram.jpg +3 -0
- results.csv +74 -0
- results.png +3 -0
- train_batch0.jpg +3 -0
- train_batch1.jpg +3 -0
- train_batch2.jpg +3 -0
- val_batch0_labels.jpg +3 -0
- val_batch0_pred.jpg +3 -0
- val_batch1_labels.jpg +3 -0
- val_batch1_pred.jpg +3 -0
- val_batch2_labels.jpg +3 -0
- val_batch2_pred.jpg +3 -0
.gitattributes
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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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confusion_matrix_normalized.png filter=lfs diff=lfs merge=lfs -text
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confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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F1_curve.png filter=lfs diff=lfs merge=lfs -text
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labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
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labels.jpg filter=lfs diff=lfs merge=lfs -text
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P_curve.png filter=lfs diff=lfs merge=lfs -text
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PR_curve.png filter=lfs diff=lfs merge=lfs -text
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R_curve.png filter=lfs diff=lfs merge=lfs -text
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results.png filter=lfs diff=lfs merge=lfs -text
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train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
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train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
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train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
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val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
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val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
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val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
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val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
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val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
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val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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F1_curve.png
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Git LFS Details
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PR_curve.png
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Git LFS Details
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P_curve.png
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Git LFS Details
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R_curve.png
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Git LFS Details
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args.yaml
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task: detect
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mode: train
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model: yolo12m.pt
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data: /content/drive/MyDrive/OBJECT DETECTION/00. Datasets/dataset-guns/data.yaml
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epochs: 100
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time: null
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patience: 20
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batch: -1
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imgsz: 640
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verbose: true
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seed: 0
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deterministic: true
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single_cls: false
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rect: false
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cos_lr: false
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close_mosaic: 10
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resume: false
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amp: true
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profile: false
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multi_scale: false
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overlap_mask: true
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mask_ratio: 4
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dropout: 0.0
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val: true
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split: val
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save_json: false
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conf: null
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iou: 0.7
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max_det: 300
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half: false
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dnn: false
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plots: true
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source: null
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vid_stride: 1
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stream_buffer: false
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visualize: false
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augment: false
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agnostic_nms: false
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classes: null
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retina_masks: false
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embed: null
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show: false
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save_frames: false
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save_txt: false
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save_conf: false
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save_crop: false
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show_labels: true
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show_conf: true
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show_boxes: true
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line_width: null
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format: torchscript
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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: true
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opset: null
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workspace: null
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nms: false
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lr0: 0.01
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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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nbs: 64
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hsv_h: 0.015
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hsv_v: 0.4
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degrees: 0.0
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shear: 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: runs/detect/train
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confusion_matrix.png
ADDED
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Git LFS Details
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confusion_matrix_normalized.png
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Git LFS Details
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cs2-yolo12m-weapon-detection.pt
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labels.jpg
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Git LFS Details
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labels_correlogram.jpg
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Git LFS Details
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results.csv
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41 |
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40,562.157,0.71958,0.58251,0.97409,0.97454,1,0.99208,0.85757,0.56182,0.34617,0.95396,0.000267047,0.000267047,0.000267047
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42 |
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41,575.607,0.70804,0.57729,0.94761,0.96578,0.98132,0.99167,0.85234,0.52621,0.384,0.9319,0.00026274,0.00026274,0.00026274
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43 |
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42,589.062,0.70442,0.58909,0.96558,0.95937,0.98805,0.99086,0.85282,0.53279,0.35518,0.91935,0.000258434,0.000258434,0.000258434
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44 |
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43,602.538,0.69603,0.55951,0.94551,0.95663,0.97523,0.99167,0.86314,0.55832,0.36645,0.94737,0.000254127,0.000254127,0.000254127
|
45 |
+
44,616.131,0.70788,0.5593,0.94717,0.9675,0.98911,0.99125,0.85027,0.54751,0.32891,0.92946,0.00024982,0.00024982,0.00024982
|
46 |
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|
47 |
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|
48 |
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49 |
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48,670.244,0.67888,0.53098,0.95056,0.96452,0.98574,0.99333,0.85052,0.55406,0.32821,0.95058,0.000232595,0.000232595,0.000232595
|
50 |
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51 |
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50,697.178,0.6841,0.5162,0.94931,0.96431,1,0.9924,0.84408,0.55214,0.33351,0.93911,0.000223982,0.000223982,0.000223982
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52 |
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53 |
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52,724.184,0.66733,0.46936,0.91724,0.96804,1,0.9925,0.86316,0.52607,0.29246,0.91148,0.000215368,0.000215368,0.000215368
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54 |
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53,737.787,0.65131,0.45469,0.92387,0.96334,1,0.9925,0.87044,0.52485,0.29054,0.9182,0.000211062,0.000211062,0.000211062
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55 |
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54,751.413,0.66854,0.47987,0.92636,0.94228,0.99673,0.99125,0.86634,0.52374,0.29656,0.92659,0.000206755,0.000206755,0.000206755
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56 |
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55,765.228,0.71095,0.50449,0.94561,0.96975,0.98697,0.99125,0.84927,0.55085,0.30919,0.93137,0.000202449,0.000202449,0.000202449
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57 |
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56,778.634,0.67834,0.49016,0.96832,0.96975,0.97217,0.98732,0.8533,0.54071,0.37587,0.93062,0.000198142,0.000198142,0.000198142
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58 |
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57,792.075,0.6775,0.48478,0.94931,0.9758,0.99351,0.99208,0.86435,0.5436,0.28308,0.93149,0.000193836,0.000193836,0.000193836
|
59 |
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58,805.534,0.65906,0.45903,0.95304,0.96659,0.98364,0.99125,0.86363,0.54389,0.27806,0.92835,0.00018953,0.00018953,0.00018953
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60 |
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59,818.955,0.64731,0.44765,0.92053,0.96698,1,0.99125,0.8525,0.56712,0.27747,0.94567,0.000185223,0.000185223,0.000185223
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61 |
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60,832.348,0.64282,0.44799,0.92926,0.97111,0.99173,0.99083,0.8555,0.57207,0.28664,0.94137,0.000180917,0.000180917,0.000180917
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62 |
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61,845.812,0.64039,0.46861,0.92997,0.96697,0.98961,0.99208,0.85966,0.53891,0.2783,0.92985,0.00017661,0.00017661,0.00017661
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63 |
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62,859.232,0.66153,0.46868,0.94019,0.97439,1,0.99125,0.85582,0.54112,0.29737,0.93568,0.000172304,0.000172304,0.000172304
|
64 |
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63,873.038,0.65775,0.45008,0.94443,0.97279,0.9937,0.9925,0.8563,0.55511,0.29252,0.93581,0.000167997,0.000167997,0.000167997
|
65 |
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64,886.52,0.64265,0.46614,0.93203,0.97392,1,0.99125,0.85824,0.53115,0.26974,0.93048,0.000163691,0.000163691,0.000163691
|
66 |
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65,899.949,0.65914,0.46059,0.94469,0.97575,1,0.99125,0.85117,0.57379,0.29875,0.94942,0.000159384,0.000159384,0.000159384
|
67 |
+
66,913.401,0.64201,0.43972,0.91814,0.97047,0.99741,0.99167,0.86481,0.55182,0.28795,0.93821,0.000155078,0.000155078,0.000155078
|
68 |
+
67,926.847,0.64021,0.43372,0.93524,0.96732,1,0.99167,0.86384,0.55136,0.27906,0.93317,0.000150771,0.000150771,0.000150771
|
69 |
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68,940.26,0.64307,0.43553,0.93058,0.97489,1,0.99125,0.86245,0.55807,0.28163,0.94077,0.000146464,0.000146464,0.000146464
|
70 |
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|
71 |
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70,967.144,0.64685,0.4187,0.94314,0.9784,0.9925,0.99125,0.86269,0.54906,0.27767,0.93832,0.000137852,0.000137852,0.000137852
|
72 |
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71,980.578,0.62826,0.40788,0.9181,0.97882,0.99899,0.99125,0.86265,0.53031,0.27793,0.9245,0.000133545,0.000133545,0.000133545
|
73 |
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72,994.344,0.62529,0.40823,0.93551,0.96831,0.99408,0.99125,0.86228,0.541,0.26663,0.92651,0.000129239,0.000129239,0.000129239
|
74 |
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73,1007.84,0.64582,0.41236,0.92254,0.96411,0.99955,0.99208,0.86039,0.54011,0.26693,0.92763,0.000124932,0.000124932,0.000124932
|
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val_batch0_pred.jpg
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val_batch1_pred.jpg
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val_batch2_labels.jpg
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val_batch2_pred.jpg
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Git LFS Details
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