US Road Signs Image Dataset
Versions
Jafar2
v71
Sep 21, 2023
Jafar
v70
Sep 18, 2023
rrs
v69
Jun 2, 2023
2023-06-02 1:01pm
v68
Jun 2, 2023
Yazan
v64
May 29, 2023
MSM-team
v61
May 29, 2023
2023-05-29 1:33am
v60
May 28, 2023
cv999
v59
May 28, 2023
laith
v58
May 27, 2023
2023-05-27 7:36pm
v57
May 27, 2023
2023-05-27 7:35pm
v56
May 27, 2023
2023-05-27 7:08pm
v55
May 27, 2023
2023-05-27 6:37pm
v54
May 27, 2023
AA
v52
May 27, 2023
2023-05-26 11:32am
v51
May 26, 2023
2023-05-26 11:27am
v49
May 26, 2023
project
v47
May 26, 2023
2023-05-26 8:11pm
v46
May 26, 2023
SMM2
v43
May 26, 2023
2023-05-26 4:22pm
v42
May 26, 2023
2023-05-26 4:07pm
v41
May 26, 2023
2023-05-26 3:04pm
v40
May 26, 2023
Aya Mahasneh
v35
May 26, 2023
Odai absi
v31
May 25, 2023
2023-05-25 7:23pm
v30
May 25, 2023
Adan - Sawsan
v29
May 25, 2023
2023-05-25 5:27pm
v27
May 25, 2023
2023-05-25 5:00pm
v26
May 25, 2023
2023-05-25 4:58pm
v25
May 25, 2023
2023-05-25 4:58pm
v24
May 25, 2023
2023-05-25 4:58pm
v23
May 25, 2023
2023-05-25 4:58pm
v22
May 25, 2023
2023-05-25 4:58pm
v21
May 25, 2023
2023-05-25 4:58pm
v19
May 25, 2023
2023-05-25 4:58pm
v18
May 25, 2023
2023-05-25 4:58pm
v15
May 25, 2023
2023-05-25 4:44pm
v14
May 25, 2023
Version 13
v13
May 25, 2023
ahmad Gzawi
v12
May 25, 2023
Cv
v10
May 25, 2023
Tareef
v8
May 25, 2023
2023-05-24 9:59pm
v5
May 24, 2023
v69
rrs
Generated on Jun 2, 2023
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
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
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Noise: Up to 25% of pixels
Cutout: 25 boxes with 9% size each
Similar Projects
Stop-sign
403 images
stop
87 images
Stop-sign
1126 images
stopsign
189 images
stop
404 images