Dataset Versions
Versions
2023-02-28 12:07am
v16
· 2 years ago
4-state-barcode-type
v15
· 2 years ago
4-state-barcode-type
v14
· 2 years ago
4-state-barcode-type
v13
· 2 years ago
4-state-barcode-type
v12
· 2 years ago
4-state-barcode-type
v11
· 2 years ago
4-state-barcode-type
v10
· 2 years ago
4-state-barcode-type
v9
· 2 years ago
4-state-barcode-type
v8
· 2 years ago
4-state-barcode-type
v7
· 2 years ago
4-state-barcode-type
v6
· 2 years ago
4-state-barcode-type
v5
· 2 years ago
4-state-barcode-type
v4
· 2 years ago
4-state-barcode-type
v3
· 2 years ago
4-state-barcode
v2
· 2 years ago
4-state-barcode
v1
· 2 years ago
v7
4-state-barcode-type
Generated on Feb 1, 2023
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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27 Total Images
View All ImagesDataset Split
Train Set 78%
21Images
Valid Set 15%
4Images
Test Set 7%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1.5px
Noise: Up to 5% of pixels