FraXrAI Image Dataset
Versions
Dataset 1.10 Stanley-25 null- exposer- cut outs-
v23
Jul 13, 2022
Dataset 1.9 Stanley-100 null-
v22
Jul 12, 2022
Dataset Stanley-New dataset-
v21
Jul 12, 2022
Noah M 1.7
v20
Jul 11, 2022
Dataset 1.6 Stanley-2x2-
v18
Jul 11, 2022
Dataset 1.5 Stanley-null 100-
v17
Jul 11, 2022
Dataset 1.4 Stanley-crop 49-
v16
Jul 11, 2022
Dataset 1.3 Stanley
v15
Jul 8, 2022
Dataset 1.1 - Adrian
v13
Jul 8, 2022
Dataset 1.1 Stanley
v11
Jul 8, 2022
Dataset 1.0 - Adrian
v9
Jul 7, 2022
Dataset 1.1 - Tyler
v8
Jul 7, 2022
Dataset 1.0 - Kasra
v6
Jul 7, 2022
Dataset 1.0
v5
Jul 5, 2022
2022-07-01 2:20pm
v4
Jul 1, 2022
2022-07-01 11:26am
v3
Jul 1, 2022
FraXrAI dataset
v2
Jul 1, 2022
2022-07-01 11:24am
v1
Jul 1, 2022
v20
Noah M 1.7
Generated on Jul 11, 2022
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
797 Total Images
View All Images
Dataset 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
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