Plate-Char-Saudi Image Dataset
Versions
2024-05-26 2:31pm
v9
· a month ago
2024-05-26 1:50pm
v8
· a month ago
2024-05-26 11:40am
v7
· a month ago
2024-05-25 11:17pm
v6
· a month ago
2024-05-25 6:40pm
v5
· a month ago
2024-05-25 6:21pm
v4
· a month ago
2024-05-25 4:54pm
v3
· a month ago
2024-05-25 4:42pm
v2
· a month ago
2024-05-25 3:35pm
v1
· a month ago
v6
2024-05-25 11:17pm
Generated on May 25, 2024
Popular Download Formats
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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1089 Total Images
View All Images
Dataset Split
Train Set 88%
954Images
Valid Set 9%
94Images
Test Set 4%
41Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 24% of images
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Exposure: Between -6% and +6%
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