Dataset Versions
Versions
2024-06-27 12:35pm
v60
· 5 months ago
2024-06-27 11:43am
v59
· 5 months ago
2024-05-22 8:09pm
v58
· 6 months ago
TF
v56
· 8 months ago
2024-03-15 11:35pm
v55
· 8 months ago
2024-03-15 10:57pm
v54
· 8 months ago
2024-03-15 10:54pm
v53
· 8 months ago
2024-03-15 10:53pm
v52
· 8 months ago
TFv6
v51
· 8 months ago
2024-03-11 7:45pm
v50
· 8 months ago
TFv5
v49
· 8 months ago
TFv4
v48
· 8 months ago
2024-03-11 7:08pm
v47
· 8 months ago
TFv3
v44
· 8 months ago
2024-03-11 3:06pm
v43
· 8 months ago
2024-03-11 2:54pm
v42
· 8 months ago
TFV2
v41
· 9 months ago
TFv1
v40
· 9 months ago
Traffic signs
v39
· a year ago
TS-ahead
v38
· a year ago
SP 100
v37
· a year ago
SP 90
v36
· a year ago
SP 120
v35
· a year ago
SP 80
v34
· a year ago
2023-12-02 9:25pm
v33
· a year ago
Traffic signs
v32
· a year ago
Traffic signs
v31
· a year ago
Traffic sign
v30
· a year ago
Traffic signs
v29
· a year ago
Traffic sings
v26
· a year ago
Trafic signs
v25
· a year ago
Traffic signs
v23
· a year ago
2023-11-19 5:32pm
v21
· a year ago
Traffic sign
v19
· a year ago
Traffic sign -v1
v17
· a year ago
120 km-h -v2
v16
· a year ago
120 km-h -v1
v15
· a year ago
traffic signal ahead -v2
v14
· a year ago
traffic signal ahead -v1
v13
· a year ago
100 km-h -v2
v12
· a year ago
100 km-h -v1
v11
· a year ago
90 km-h -v2
v10
· a year ago
90 km-h -v1
v9
· a year ago
80 km-h -v2
v5
· a year ago
80 km-h -v1
v4
· a year ago
v13
traffic signal ahead -v1
Generated on Nov 16, 2023
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.
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685 Total Images
View All ImagesDataset Split
Train Set 88%
600Images
Valid Set 8%
57Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%