Dataset Versions
Versions
test set only no horiontal flipping
v23
· a month ago
2024-10-23 4:17pm
v22
· a month ago
2024-10-23 12:13pm
v17
· a month ago
2024-10-23 12:10pm
v16
· a month ago
2024-10-23 12:10pm
v15
· a month ago
2024-10-23 12:10pm
v14
· a month ago
2024-10-23 12:10pm
v13
· a month ago
2024-10-23 12:09pm
v12
· a month ago
2024-10-23 12:08pm
v11
· a month ago
Original 160 SG License Plates
v2
· a month ago
v23
test set only no horiontal flipping
Generated on Oct 23, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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480 Total Images
View All Images
Dataset Split
Train Set 100%
480Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between 0% and +20%
Exposure: Between -5% and +5%
Blur: Up to 2.5px
Noise: Up to 0.3% of pixels