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
v11
oak-deploy-train_ACCURATE
Generated on Mar 31, 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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2004 Total Images
View All Images
Dataset Split
Train Set 96%
1920Images
Valid Set 3%
54Images
Test Set 1%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x416
Tile: 3 rows x 2 columns
Augmentations
Outputs per training example: 10
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Mosaic: Applied