US Road Signs Image Dataset
Versions
original-dataset
v72
Dec 21, 2023
Jafar2
v71
Sep 21, 2023
Jafar
v70
Sep 18, 2023
rrs
v69
Jun 2, 2023
Yazan
v64
May 29, 2023
MSM-team
v61
May 29, 2023
laith
v58
May 27, 2023
AA
v52
May 27, 2023
project
v47
May 26, 2023
SMM2
v43
May 26, 2023
2023-05-26 4:22pm
v42
May 26, 2023
Aya Mahasneh
v35
May 26, 2023
Odai absi
v31
May 25, 2023
Adan - Sawsan
v29
May 25, 2023
Version 13
v13
May 25, 2023
Cv
v10
May 25, 2023
Tareef
v8
May 25, 2023
2023-05-24 9:59pm
v5
May 24, 2023
v61
MSM-team
Generated on May 29, 2023
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TXT annotations and YAML config used with YOLOv8.
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MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
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1600 Total Images
View All Images
Dataset Split
Train Set 88%
1404Images
Valid Set 6%
98Images
Test Set 6%
98Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 30% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 1.25px
Cutout: 3 boxes with 5% size each
Bounding Box: Brightness: Between -12% and +12%
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 1px
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