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plate_number-qynnp/1 (latest)
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Plate_Number
Object Detection
Overview
Images
529
Dataset
4
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-03-01 3:17pm
v4
·
2 years ago
2023-03-01 2:21pm
v3
·
2 years ago
2023-03-01 11:46am
v2
·
2 years ago
2023-02-26 4:20pm
v1
·
2 years ago
v2
2023-03-01 11:46am
Generated on Mar 1, 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
.
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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595
Total Images
View All Images
Dataset Split
Train Set
92%
549
Images
Valid Set
8%
45
Images
Test Set
0%
1
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 128x32
Augmentations
Outputs per training example:
3
Rotation:
Between -3° and +3°
Grayscale:
Apply to 20% of images
Brightness:
Between -10% and +10%
Exposure:
Between -5% and +5%
Noise:
Up to 3% of pixels
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