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
v3
v3
Generated on Dec 30, 2020
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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 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.
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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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17573 Total Images
View All Images
Dataset Split
Train Set 90%
15807Images
Valid Set %
0Images
Test Set 10%
1766Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 600x600
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Hue: Between -90° and +90°
Brightness: Between -40% and +40%
Cutout: 4 boxes with 20% size each