Morrocan Traffic Signs Data V3 Image Dataset
Versions
v1
2023-06-13 3:37pm
Generated on Jun 13, 2023
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
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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.
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3617 Total Images
View All Images
Dataset Split
Train Set 88%
3165Images
Valid Set 8%
301Images
Test Set 4%
151Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
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