Dataset Versions
v10
Heavy-Augmentations 2x
Generated on May 2, 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
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6970 Total Images
View All Images
Dataset Split
Train Set 84%
5874Images
Valid Set 12%
863Images
Test Set 3%
233Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±13° Vertical
Blur: Up to 2.8px
Noise: Up to 1.84% of pixels
Cutout: 3 boxes with 10% size each