Dataset Versions
Versions
2023-06-07 2:34pm
v12
· a year ago
2023-06-07 12:59pm
v11
· a year ago
2023-06-02 10:27am
v10
· a year ago
2023-06-02 10:21am
v9
· a year ago
2023-05-31 9:03pm
v8
· a year ago
v4 igual que la otra sin esa configuracion
v5
· 2 years ago
V3 condermatoscopio y configuracion no buena
v4
· 2 years ago
V2-condataaugmetacion sin derma
v3
· 2 years ago
Version1-sin data augmetacion
v1
· 2 years ago
v12
2023-06-07 2:34pm
Generated on Jun 7, 2023
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.
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1446 Total Images
View All Images
Dataset Split
Train Set 65%
936Images
Valid Set 18%
255Images
Test Set 18%
255Images
Preprocessing
Resize: Stretch to 380x380
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 11% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -7% and +7%
Blur: Up to 2.5px
Bounding Box: Exposure: Between -28% and +28%