Dataset Versions
Versions
augmentation with 80 to 20-
v9
· 3 years ago
augmentation
v8
· 3 years ago
only train and valid 80 to 20
v7
· 3 years ago
80and20percent only dataset
v6
· 3 years ago
for detector
v5
· 3 years ago
onlydataset
v4
· 3 years ago
only90augmentation
v3
· 3 years ago
ulcer
v2
· 3 years ago
diabetic foot ulcer
v1
· 3 years ago
v2
ulcer
Generated on Apr 3, 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 YOLOv9.
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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.
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9903 Total Images
View All Images
Dataset Split
Train Set 90%
8913Images
Valid Set 10%
990Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical