Dataset Versions
v2
2024-07-09 6:18am
Generated on Jul 9, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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
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17184 Total Images
View All Images
Dataset Split
Train Set 76%
13092Images
Valid Set 13%
2241Images
Test Set 11%
1851Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 5-95% Horizontal Region, 5-95% Vertical Region
Dynamic Crop: Class: pigmented_benign_keratosis
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 5 rows x 5 columns
Filter Null: Require all images to contain annotations.
Filter by Tag: 0 required, 1 dropped
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 22% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Noise: Up to 0.42% of pixels