Dataset Versions
Versions
2023-08-15 3:39pm
v16
· a year ago
2023-08-15 3:35pm
v15
· a year ago
training_900_04
v14
· 2 years ago
training_900_03
v13
· 2 years ago
training_900_02
v12
· 2 years ago
training_900_01
v11
· 2 years ago
train_val_test_01
v10
· 2 years ago
vehicles_09
v9
· 2 years ago
vehicles_08
v8
· 2 years ago
vehicles_07
v7
· 2 years ago
vehicles_05
v5
· 2 years ago
v7
vehicles_07
Generated on Mar 18, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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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.
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750 Total Images
View All Images
Dataset Split
Train Set 100%
750Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels