PlateDetectionYolov8 Dataset
Versions
2023-12-18 5:01pm
v9
· 9 months ago
2023-12-18 3:50pm
v8
· 9 months ago
2023-12-18 3:33pm
v7
· 9 months ago
2023-12-14 2:15pm
v6
· 9 months ago
2023-12-14 2:10pm
v5
· 9 months ago
2023-12-14 1:51pm
v4
· 9 months ago
2023-12-14 1:47pm
v3
· 9 months ago
2023-11-14 9:47pm
v2
· 10 months ago
2023-11-14 9:35pm
v1
· 10 months ago
v9
2023-12-18 5:01pm
Generated on Dec 18, 2023
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
Choose another format.
8876 Total Images
View All Images
Dataset Split
Train Set 88%
7770Images
Valid Set 8%
737Images
Test Set 4%
369Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Grayscale: Apply to 43% of images
Saturation: Between -23% and +23%
Exposure: Between -28% and +28%
Noise: Up to 1% of pixels