Dataset Versions
v1
2024-07-30 9:12am
Generated on Jul 30, 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
Choose another format.
470 Total Images
View All Images
Dataset Split
Train Set 91%
429Images
Valid Set 4%
18Images
Test Set 5%
23Images
Preprocessing
Resize: Stretch to 1009x735
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±10° Vertical
Grayscale: Apply to 100% of images
Saturation: Between -29% and +29%
Brightness: Between -24% and +24%
Exposure: Between -5% and +5%
Blur: Up to 1.4px
Noise: Up to 0.1% of pixels
Cutout: 4 boxes with 3% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 14% Maximum Zoom
Bounding Box: Rotation: Between -7° and +7°
Bounding Box: Shear: ±4° Horizontal, ±4° Vertical
Bounding Box: Brightness: Between -8% and +8%
Bounding Box: Exposure: Between -4% and +4%
Bounding Box: Blur: Up to 1.1px
Bounding Box: Noise: Up to 0.14% of pixels