Dataset Versions
Versions
raw-images_updated
v16
· 2 years ago
v4-augmented5x-Added-iOSImages_resized640
v15
· 2 years ago
v3-augmented5x-Added-iOSImages_resized416
v14
· 2 years ago
v3-augmented5x-Added-iOSImages_resized640
v13
· 2 years ago
v2-augmented5x-Added-iOSImages_resized640
v12
· 2 years ago
augmented5x-Added-iOSImages_resized640
v11
· 2 years ago
augmented5x-Added-iOSImages_resized416
v10
· 2 years ago
Added-iOSImages_resized640
v8
· 2 years ago
Added-iOSImages_resized416
v7
· 2 years ago
Added-iOSImages_raw-images
v6
· 2 years ago
augmented5x-resized640-rawImages_MaskWearingClassic
v5
· 2 years ago
augmented5x-resized416-rawImages_MaskWearingClassic
v4
· 2 years ago
resized640-rawImages_MaskWearingClassic
v3
· 2 years ago
resized416-rawImages_MaskWearingClassic
v2
· 2 years ago
original-rawImages_MaskWearingClassic
v1
· 2 years ago
v11
augmented5x-Added-iOSImages_resized640
Generated on Nov 4, 2022
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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.
COCO JSON
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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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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9931 Total Images
View All Images
Dataset Split
Train Set 92%
9160Images
Valid Set 5%
501Images
Test Set 3%
270Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Cutout: 5 boxes with 3% size each