Dataset Versions
Versions
raw_HeadClassOnly
v14
· 2 years ago
augmented3x-HeadHelmetClasses-AccurateModel
v13
· 2 years ago
augmented3x-HeadHelmetClasses-FastModel
v12
· 2 years ago
augmented3x-AllClasses-FastModel
v11
· 2 years ago
raw_AllClasses
v10
· 2 years ago
raw_PersonClassOnly
v9
· 2 years ago
raw_HelmetClassOnly
v8
· 2 years ago
raw_HeadHelmetClasses
v5
· 2 years ago
v3
v3
· 4 years ago
raw_75-25_trainTestSplit
v2
· 5 years ago
resize-416x416-reflectEdges
v1
· 5 years ago
v13
augmented3x-HeadHelmetClasses-AccurateModel
Generated on Sep 30, 2022
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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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16867 Total Images
View All Images
Dataset Split
Train Set 87%
14748Images
Valid Set 8%
1413Images
Test Set 4%
706Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 1px
Cutout: 6 boxes with 3% size each