Dataset Versions
v3
augmentation 3x -- 254 images
Generated on Apr 27, 2022
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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222 Total Images
View All Images
Dataset Split
Train Set 78%
174Images
Valid Set 7%
16Images
Test Set 14%
32Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -26° and +26°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 43% of images
Hue: Between -28° and +28°
Saturation: Between -53% and +53%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 8px
Noise: Up to 8% of pixels