Dataset Versions
Versions
Hard
v26
· 8 months ago
Easy
v25
· 8 months ago
Train - Val
v24
· 8 months ago
Enhanced training and testing images v2
v22
· 8 months ago
Enhanced training and testing images
v20
· 10 months ago
Enhanced training images
v19
· 10 months ago
Non grayscaled
v18
· 10 months ago
Grayscaled
v17
· 10 months ago
Removed speed 110
v16
· 10 months ago
Augmented version v2
v15
· a year ago
Augmented image
v14
· a year ago
Real life images
v13
· a year ago
Fully Manual annotated v2
v11
· a year ago
Fully Manual annotated
v10
· a year ago
Filter Null
v6
· a year ago
Partial manual annotation
v5
· a year ago
Completed road sign dataset
v4
· a year ago
v22
Enhanced training and testing images v2
Generated on Mar 15, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
3006 Total Images
View All ImagesDataset Split
Train Set 89%
2673Images
Valid Set 6%
169Images
Test Set 5%
164Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -50% and +50%
Blur: Up to 2.5px
Noise: Up to 4.99% of pixels