Dataset Versions

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Traffic Signs Detection - 4.5k Images

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Traffic Signs Detection Europe - Raw Split

v14

Traffic Signs Detection - 4.5k Images

Generated on Feb 19, 2024

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TXT annotations and YAML config used with YOLOv11.

TXT annotations and YAML config used with YOLOv9.

TXT annotations and YAML config used with YOLOv8.

TXT annotations and YAML config used with YOLOv5.

TXT annotations and YAML config used with YOLOv7.

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

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4381 Total Images

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Dataset Split

Train Set 74%

3253Images

Valid Set 26%

1128Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

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