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  1. static/sam/sam2.1_hiera_tiny.pt +3 -0
  2. static/sam/sam_results/.gitkeep +0 -0
  3. static/uploads/.gitkeep +0 -0
  4. static/yolo/area_data/.gitkeep +0 -0
  5. static/yolo/dataset_yolo/README.dataset.txt +6 -0
  6. static/yolo/dataset_yolo/README.roboflow.txt +27 -0
  7. static/yolo/dataset_yolo/data.yaml +6 -0
  8. static/yolo/dataset_yolo/test/images/05_jpg.rf.b34cff716c6b81c420a99fa61490d7db.jpg +0 -0
  9. static/yolo/dataset_yolo/test/images/12_jpg.rf.0b59525dc46d49279b2c83d7cebfc403.jpg +0 -0
  10. static/yolo/dataset_yolo/test/images/19_jpg.rf.81fe81b135e4c5b5cf9ce6e3254f5132.jpg +0 -0
  11. static/yolo/dataset_yolo/test/images/techtips_3_jpg.rf.459603982ed0548d258a9951f90d72e9.jpg +0 -0
  12. static/yolo/dataset_yolo/test/labels/05_jpg.rf.b34cff716c6b81c420a99fa61490d7db.txt +9 -0
  13. static/yolo/dataset_yolo/test/labels/12_jpg.rf.0b59525dc46d49279b2c83d7cebfc403.txt +15 -0
  14. static/yolo/dataset_yolo/test/labels/19_jpg.rf.81fe81b135e4c5b5cf9ce6e3254f5132.txt +6 -0
  15. static/yolo/dataset_yolo/test/labels/techtips_3_jpg.rf.459603982ed0548d258a9951f90d72e9.txt +16 -0
  16. static/yolo/dataset_yolo/train/images/025_JPG_jpg.rf.4d4f1a76f3a76eb458d2b3e450742471.jpg +0 -0
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  40. static/yolo/dataset_yolo/train/images/Solder_Voids_jpg.rf.fb711590b75556e9c2aa97bbd2893e3f.jpg +0 -0
  41. static/yolo/dataset_yolo/train/images/gc10_lake_voids_260-31_jpg.rf.50c12c57146c07c35a86b2917bcce368.jpg +0 -0
  42. static/yolo/dataset_yolo/train/images/normal-reflow_jpg.rf.6745a498a8412411bc8c42f329ad9eb9.jpg +0 -0
  43. static/yolo/dataset_yolo/train/images/qfn-voiding_0_jpg.rf.392f58cf58ec30efeeca8329bbedaf83.jpg +0 -0
  44. static/yolo/dataset_yolo/train/images/techtips_31_jpg.rf.d5020b24457dc1948182c7eb7a12e012.jpg +0 -0
  45. static/yolo/dataset_yolo/train/labels.cache +0 -0
  46. static/yolo/dataset_yolo/train/labels/025_JPG_jpg.rf.4d4f1a76f3a76eb458d2b3e450742471.txt +85 -0
  47. static/yolo/dataset_yolo/train/labels/02_JPG_jpg.rf.5086ee62c98c6db923cb0ba8a4adf281.txt +14 -0
  48. static/yolo/dataset_yolo/train/labels/06_jpg.rf.76fe2ddab11b77e059b9097313dc286d.txt +20 -0
  49. static/yolo/dataset_yolo/train/labels/07_JPG_jpg.rf.7a81f666a278ce8a302d1e775b0aad93.txt +18 -0
  50. static/yolo/dataset_yolo/train/labels/09_JPG_jpg.rf.7670574b3bd15ca7ef32edfbb40a2ec3.txt +13 -0
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+ version https://git-lfs.github.com/spec/v1
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+ size 156008466
static/sam/sam_results/.gitkeep ADDED
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static/uploads/.gitkeep ADDED
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static/yolo/area_data/.gitkeep ADDED
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static/yolo/dataset_yolo/README.dataset.txt ADDED
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+ # Samsam > 2024-10-31 1:39pm
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+ https://universe.roboflow.com/nathan-sam/samsam
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+
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+ Provided by a Roboflow user
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+ License: CC BY 4.0
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+
static/yolo/dataset_yolo/README.roboflow.txt ADDED
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+
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+ Samsam - v1 2024-10-31 1:39pm
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+ ==============================
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+
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+ This dataset was exported via roboflow.com on October 31, 2024 at 1:40 PM GMT
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+
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+ Roboflow is an end-to-end computer vision platform that helps you
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+ * collaborate with your team on computer vision projects
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+ * collect & organize images
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+ * understand and search unstructured image data
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+ * annotate, and create datasets
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+ * export, train, and deploy computer vision models
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+ * use active learning to improve your dataset over time
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+
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+ For state of the art Computer Vision training notebooks you can use with this dataset,
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+ visit https://github.com/roboflow/notebooks
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+
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+ To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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+
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+ The dataset includes 41 images.
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+ Chips-void are annotated in YOLOv11 format.
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+
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+ The following pre-processing was applied to each image:
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+
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+ No image augmentation techniques were applied.
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+
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+
static/yolo/dataset_yolo/data.yaml ADDED
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+ train: ../train/images
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+ val: ../valid/images
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+ test: test/images
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+
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+ nc: 2
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+ names: ['chip', 'void']
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+ 1 0.496875 0.8140625 0.496875 0.8421875 0.5078125 0.8515625 0.528125 0.8484375 0.5328125 0.821875 0.5265625 0.8109375 0.5046875 0.8078125
12
+ 1 0.559375 0.8265625 0.5578125 0.840625 0.565625 0.85 0.584375 0.8453125 0.5828125 0.821875 0.565625 0.8203125
13
+ 1 0.6921875 0.4453125 0.6921875 0.4640625 0.7078125 0.48125 0.728125 0.4796875 0.740625 0.4671875 0.7375 0.4375 0.7234375 0.428125 0.70625 0.4296875