Dataset Versions
Versions
Dataset 1.10 Stanley-25 null- exposer- cut outs-
v23
· 2 years ago
Dataset 1.9 Stanley-100 null-
v22
· 2 years ago
Dataset Stanley-New dataset-
v21
· 2 years ago
Noah M 1.7
v20
· 2 years ago
Dataset 1.6 Stanley-2x2-
v18
· 2 years ago
Dataset 1.5 Stanley-null 100-
v17
· 2 years ago
Dataset 1.4 Stanley-crop 49-
v16
· 2 years ago
Dataset 1.3 Stanley
v15
· 2 years ago
Dataset 1.1 - Adrian
v13
· 2 years ago
Dataset 1.1 Stanley
v11
· 2 years ago
Dataset 1.0 - Adrian
v9
· 2 years ago
Dataset 1.1 - Tyler
v8
· 2 years ago
Dataset 1.0 - Kasra
v6
· 2 years ago
Dataset 1.0
v5
· 2 years ago
2022-07-01 2:20pm
v4
· 2 years ago
2022-07-01 11:26am
v3
· 2 years ago
FraXrAI dataset
v2
· 2 years ago
2022-07-01 11:24am
v1
· 2 years ago
v17
Dataset 1.5 Stanley-null 100-
Generated on Jul 11, 2022
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YOLOv11
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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458 Total Images
View All ImagesDataset Split
Train Set 87%
399Images
Valid Set 7%
32Images
Test Set 6%
27Images
Preprocessing
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -45% and +45%
Cutout: 4 boxes with 18% size each