Traffic Image Dataset
v3
YOLO TRAIN ONLY
Generated on Jan 17, 2022
Popular Download Formats
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.
3633 Total Images
View All Images
Dataset Split
Train Set 100%
3633Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 70% Maximum Zoom
Grayscale: Apply to 100% of images
Hue: Between -100° and +100°
Saturation: Between -45% and +45%
Brightness: Between -70% and +70%
Exposure: Between -50% and +50%
Blur: Up to 1.75px
Noise: Up to 10% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 33% Maximum Zoom
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Exposure: Between -50% and +50%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels
Similar Projects
traffic-trafficsigns-trlights
740 images
prohibitory
740 images
pieces
740 images
signs
740 images
Traffic-Signs
740 images