Realidad Trafico Deteccion Image Dataset
Versions
2023-10-18 12:59pm
v9
Oct 18, 2023
2023-10-12 6:52pm
v8
Oct 12, 2023
2023-10-06 11:03pm
v7
Oct 7, 2023
2023-09-30 2:11am
v6
Sep 30, 2023
2023-09-22 5:58pm
v5
Sep 22, 2023
2023-09-22 5:49pm
v4
Sep 22, 2023
2023-09-10 12:05am
v3
Sep 10, 2023
2023-09-02 10:40pm
v2
Sep 3, 2023
2023-08-07 7:31pm
v1
Aug 7, 2023
v6
2023-09-30 2:11am
Generated on Sep 30, 2023
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.
3917 Total Images
View All Images
Dataset Split
Train Set 87%
3426Images
Valid Set 8%
326Images
Test Set 4%
165Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -0% and +0%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
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