Versions
Versions
2025-05-19 8:32pm
v17
17242
All_Crossings_V1
v16
5735
480x480
Stretch to
Augmented_Vehicles_V4
v15
4862
480x480
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2025-01-07 1:49pm
v14
3349
480x480
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Train-And-Vehicle-Augmented-V2
v13
1842
480x480
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Train-And-Vehicles-Augmented-V1
v12
1804
480x480
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Train-And-Vehicles-Preprocessed-V2
v11
1061
480x480
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Train-And-Car-With-Preprocessing-V2
v10
1058
480x480
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Base-Images-Vehicles-No-Augmentation
v9
1057
480x480
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Base-Images-Car-No-Augmentation
v8
1057
480x480
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BaseImages
v7
732
2024-12-23 9:40am
v6
1758
480x480
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2024-12-23 9:21am
v5
732
480x480
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2024-12-19 9:19am
v3
939
480x480
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2024-12-18 2:14pm
v2
458
640x640
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2024-12-18 11:40am
v1
191
640x640
Stretch to
v17
2025-05-19 8:32pm
Generated on May 20, 2025
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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17242 Total Images
View All Images
Dataset Split
Train Set 89%
15370Images
Valid Set 7%
1248Images
Test Set 4%
624Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Grayscale: Applied
Augmentations
Outputs per training example: 2
Brightness: Between -20% and +20%
Blur: Up to 1.5px