Road Signs Detection [Italy] Image Dataset
Versions
2023-11-22 4:04pm
v12
Nov 22, 2023
2023-11-17 5:02pm
v11
Nov 17, 2023
2023-11-13 9:27am
v10
Nov 13, 2023
2023-10-25 9:19am
v9
Oct 25, 2023
2023-10-24 12:49pm
v8
Oct 24, 2023
2023-10-24 10:06am
v7
Oct 24, 2023
2023-10-09 9:49am
v6
Oct 9, 2023
2023-10-06 2:02pm
v5
Oct 6, 2023
2023-10-06 1:57pm
v4
Oct 6, 2023
2023-10-03 11:17am
v3
Oct 3, 2023
2023-10-02 3:37pm
v2
Oct 2, 2023
2023-10-02 11:09am
v1
Oct 2, 2023
v12
2023-11-22 4:04pm
Generated on Nov 22, 2023
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YOLOv9
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TXT annotations and YAML config used with YOLOv5.
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COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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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1226 Total Images
View All ImagesDataset Split
Train Set 88%
1074Images
Valid Set 8%
102Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1440x1088
Augmentations
Outputs per training example: 3
Brightness: Between -45% and +0%
Blur: Up to 2px
Noise: Up to 3% of pixels
Cutout: 20 boxes with 3% size each
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