vitiligo-detection0 Dataset
Versions
2023-10-08 7:26pm
v11
· a year ago
2023-10-08 6:46pm
v10
· a year ago
2023-10-08 6:44pm
v9
· a year ago
2023-10-08 6:41pm
v8
· a year ago
2023-10-08 6:38pm
v7
· a year ago
2023-10-08 6:36pm
v6
· a year ago
2023-10-08 6:29pm
v5
· a year ago
2023-10-08 6:24pm
v3
· a year ago
2023-10-08 1:42pm
v2
· a year ago
2023-10-07 8:06pm
v1
· a year ago
v5
2023-10-08 6:29pm
Generated on Oct 8, 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.
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3688 Total Images
View All Images
Dataset Split
Train Set 88%
3228Images
Valid Set 8%
308Images
Test Set 4%
152Images
Preprocessing
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Cutout: 3 boxes with 10% size each