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number-plate-detection-pr-400/1 (latest)
Versions
v1
2023-12-22 9:23pm
Generated on
Dec 22, 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.
Other Formats
Choose another format.
6638 Total Images
View All Images
Dataset Split
Train
Set
88%
5811Images
Valid
Set
8%
551Images
Test
Set
4%
276Images
Preprocessing
Auto-Orient:
Applied
Static Crop:
25-75% Horizontal Region, 14-97% Vertical Region
Resize:
Stretch to 640x640
Auto-Adjust Contrast:
Using Adaptive Equalization
Modify Classes:
0 remapped, 0 dropped
Filter Null:
Require all images to contain annotations.
Augmentations
Outputs per training example:
3
90° Rotate:
Clockwise, Counter-Clockwise
Shear:
±15° Horizontal, ±15° Vertical
Grayscale:
Apply to 25% of images
Brightness:
Between -25% and +25%
Blur:
Up to 2.5px
Noise:
Up to 5% of pixels
Bounding Box: 90° Rotate:
Clockwise, Counter-Clockwise
Bounding Box: Shear:
±15° Horizontal, ±15° Vertical
Bounding Box: Brightness:
Between -25% and +25%
Bounding Box: Blur:
Up to 2.5px
Bounding Box: Noise:
Up to 5% of pixels
