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number-plate-detection-3tbqu/2 (latest)
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Number plate detection
Object Detection
Overview
Images
3947
Dataset
3
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
Final - Number plate - face - mask
v3
·
2 years ago
2023-02-21 3:55pm
v2
·
2 years ago
2023-02-21 3:51pm
v1
·
2 years ago
v3
Final - Number plate - face - mask
Generated on Apr 4, 2023
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Dataset
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YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
YOLOv9
TXT annotations and YAML config
used with
YOLOv9
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YOLOv8
TXT annotations and YAML config
used with
YOLOv8
.
YOLOv5
TXT annotations and YAML config
used with
YOLOv5
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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
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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
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9499
Total Images
View All Images
Dataset Split
Train Set
88%
8328
Images
Valid Set
8%
752
Images
Test Set
4%
419
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
Saturation:
Between -21% and +21%
Bounding Box: Brightness:
Between -20% and +20%
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