foot-detection-bbox Image Dataset
Versions
2023-02-20 2:37pm
v17
Feb 20, 2023
2023-02-20 11:29am
v15
Feb 20, 2023
2023-02-11 7:43am
v11
Feb 11, 2023
2023-02-09 5:30pm
v10
Feb 9, 2023
2023-02-07 8:39pm
v8
Feb 7, 2023
2023-01-26 4:56pm
v6
Jan 26, 2023
2023-01-23 11:09am
v5
Jan 23, 2023
2023-01-21 8:32pm
v4
Jan 21, 2023
2023-01-20 3:28pm
v3
Jan 20, 2023
2023-01-19 4:21pm
v2
Jan 19, 2023
2023-01-19 4:18pm
v1
Jan 19, 2023
v17
2023-02-20 2:37pm
Generated on Feb 20, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
521 Total Images
View All Images
Dataset Split
Train Set 88%
456Images
Valid Set 7%
39Images
Test Set 5%
26Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 50-100% Vertical Region
Resize: Fit within 256x256
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 8% of pixels
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