Dataset Versions
Versions
oak-deploy-train_ACCURATE
v11
· 3 years ago
oak-deploy-train_FAST
v10
· 3 years ago
2022-01-21 1:16pm
v8
· 3 years ago
V6 plus 24 new test photos unannotated
v7
· 3 years ago
Tight annotation and null
v6
· 3 years ago
Original annotated images and blanks no augmentations
v5
· 3 years ago
Originals and augmentations and empty plates-version 2-
v4
· 3 years ago
Originals and augmentations-version 1-
v1
· 3 years ago
v4
Originals and augmentations and empty plates-version 2-
Generated on Jan 11, 2022
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.
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44 Total Images
View All Images
Dataset Split
Train Set 82%
36Images
Valid Set 11%
5Images
Test Set 7%
3Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
Crop: 42% Minimum Zoom, 80% Maximum Zoom
Cutout: 3 boxes with 10% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical