Dataset Versions
v9
ready to fine tune
Generated on Nov 1, 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.
7663 Total Images
View All Images
Dataset Split
Train Set 88%
6777Images
Valid Set 8%
590Images
Test Set 4%
296Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 800x800
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 61% of images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -24° and +24°
Saturation: Between -33% and +33%
Brightness: Between -14% and +14%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.28% of pixels