Mohamed Traore

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TACO: Trash Annotations in Context Dataset

Instance Segmentation

TACO: Trash Annotations in Context Dataset Image Dataset

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Versions
resize640-aug3x-allClasses-mappedToTrash
v16
May 17, 2023
resize640-aug3x
v15
May 17, 2023
resize640-noAug-allClasses-mappedToTrash
v14
May 17, 2023
resize640-noAug
v13
May 17, 2023
raw-images
v12
May 17, 2023
v16

resize640-aug3x-allClasses-mappedToTrash

Generated on May 17, 2023
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3597 Total Images

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Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 87%
3147Images
Valid Set 8%
299Images
Test Set 4%
151Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 59 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.75px
Cutout: 5 boxes with 2% size each