Dataset Versions
Versions
No augmentations- just the original labeled nameplates
v5
· 3 years ago
After getting new data from videos of invention studio and experiment
v4
· 3 years ago
After getting new data from videos of Van Leer and Invention Studio
v3
· 3 years ago
After manual data cleaning
v2
· 3 years ago
2022-03-15 11:35am
v1
· 3 years ago
v4
After getting new data from videos of invention studio and experiment
Generated on Apr 5, 2022
Popular Download Formats
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.
Other Formats
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5835 Total Images
View All Images
Dataset Split
Train Set 92%
5365Images
Valid Set 5%
310Images
Test Set 3%
160Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 5
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Brightness: Between -30% and +30%
Noise: Up to 3% of pixels