Foot Image Dataset
Versions
2023-03-15 10:41am
v9
Mar 15, 2023
2023-02-01 9:41pm
v8
Feb 1, 2023
2022-09-20 4:14am
v7
Sep 19, 2022
2022-09-19 11:52pm
v6
Sep 19, 2022
2022-09-19 11:18pm
v5
Sep 19, 2022
2022-09-19 7:45pm
v4
Sep 19, 2022
2022-09-19 4:02pm
v3
Sep 19, 2022
2022-09-18 1:19pm
v2
Sep 18, 2022
2022-09-18 11:30am
v1
Sep 18, 2022
v7
2022-09-20 4:14am
Generated on Sep 19, 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.
84 Total Images
View All Images
Dataset Split
Train Set 86%
72Images
Valid Set 8%
7Images
Test Set 6%
5Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
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