Dataset Versions
Versions
no_nulls_plain
v26
· 2 years ago
2022-06-06 12:40pm
v25
· 2 years ago
2022-06-06 10:47am
v24
· 2 years ago
original-images_all-classes
v23
· 3 years ago
Head_Helmet-classes_original-images
v22
· 3 years ago
HELMET-class_original-images
v21
· 3 years ago
HEAD-class_original-images
v20
· 3 years ago
Head_Helmet-classes_FAST-model
v17
· 3 years ago
bad split test
v8
· 3 years ago
fast v2 - A-B test
v7
· 3 years ago
new splits
v6
· 3 years ago
raw export datasets
v5
· 3 years ago
v3 - person dropped
v3
· 3 years ago
v1 - split
v2
· 3 years ago
v1
v1
· 3 years ago
v17
Head_Helmet-classes_FAST-model
Generated on May 27, 2022
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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 YOLOv7.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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16859 Total Images
View All Images
Dataset Split
Train Set 87%
14736Images
Valid Set 8%
1414Images
Test Set 4%
709Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Hue: Between -31° and +31°
Saturation: Between -25% and +25%
Brightness: Between -26% and +26%
Noise: Up to 3% of pixels