Dataset Versions
v11
2023-12-07 5:36pm
Generated on Dec 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.
Other Formats
Choose another format.
2883 Total Images
View All Images
Dataset Split
Train Set 86%
2475Images
Valid Set 12%
350Images
Test Set 2%
58Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 12-50% Horizontal Region, 32-72% Vertical Region
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 16% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Rotation: Between -33° and +33°
Grayscale: Apply to 36% of images
Brightness: Between -15% and +15%
Blur: Up to 3.5px
Cutout: 9 boxes with 7% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 5px
Bounding Box: Noise: Up to 14% of pixels