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
v11
Dataset 1.1 Stanley
Generated on Jul 8, 2022
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TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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448 Total Images
View All Images
Dataset Split
Train Set 87%
390Images
Valid Set 7%
31Images
Test Set 6%
27Images
Preprocessing
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -44% and +44%
Cutout: 4 boxes with 15% size each