Dataset Versions
v1
saturation
Generated on Apr 5, 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.
Other Formats
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2056 Total Images
View All Images
Dataset Split
Train Set 82%
1677Images
Valid Set 9%
186Images
Test Set 9%
193Images
Preprocessing
Static Crop: 15-88% Horizontal Region, 13-90% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 50% of images
Hue: Between -15° and +15°
Saturation: Between -36% and +36%
Cutout: 5 boxes with 6% size each
Bounding Box: Brightness: Between -25% and +25%