Plate-Char-Saudi Image Dataset
Versions
2024-05-26 2:31pm
v9
May 26, 2024
2024-05-26 1:50pm
v8
May 26, 2024
2024-05-26 11:40am
v7
May 26, 2024
2024-05-25 11:17pm
v6
May 25, 2024
2024-05-25 6:40pm
v5
May 25, 2024
2024-05-25 6:21pm
v4
May 25, 2024
2024-05-25 4:54pm
v3
May 25, 2024
2024-05-25 4:42pm
v2
May 25, 2024
2024-05-25 3:35pm
v1
May 25, 2024
v9
2024-05-26 2:31pm
Generated on May 26, 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.
Other Formats
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1288 Total Images
View All Images
Dataset Split
Train Set 88%
1128Images
Valid Set 9%
111Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 24% of images
Hue: Between -9° and +9°
Saturation: Between -13% and +13%
Exposure: Between -6% and +6%
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