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
v20
Noah M 1.7
Generated on Jul 11, 2022
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YOLOv11
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.
COCO JSON
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.
Pascal VOC XML
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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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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797 Total Images
View All ImagesDataset Split
Train Set 87%
693Images
Valid Set 7%
58Images
Test Set 6%
46Images
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
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