Edit Project

TACO: Trash Annotations in Context Dataset

Instance Segmentation

Dataset Versions

Try Pre-Trained Model

resize640-aug3x-allClasses-mappedToTrash

resize640-noAug-allClasses-mappedToTrash

v15

resize640-aug3x

Generated on May 17, 2023

Download Dataset

3597 Total Images

View All Images

Dataset Split

Train Set 87%

3147Images

Valid Set 8%

299Images

Test Set 4%

151Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

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

Similar Projects

Annotations

Group: trash

Clear plastic bottle

Other plastic

Unused Classes

Aerosol

Aluminium blister pack

Aluminium foil

Battery

Broken glass

Carded blister pack

Cigarette

Corrugated carton

Crisp packet

Disposable food container

Disposable plastic cup

Drink can

Drink carton

Egg carton

Foam cup

Foam food container

Food Can

Food waste

Garbage bag

Glass bottle

Glass cup

Glass jar

Magazine paper

Meal carton

Metal bottle cap

Metal lid

Normal paper

Other carton

Other plastic bottle

Other plastic container

Other plastic cup

Other plastic wrapper

Paper bag

Paper cup

Paper straw

Pizza box

Plastic bottle cap

Plastic film

Plastic glooves

Plastic lid

Plastic straw

Plastic utensils

Polypropylene bag

Pop tab

Rope & strings

Scrap metal

Shoe

Single-use carrier bag

Six pack rings

Spread tub

Squeezable tube

Styrofoam piece

Tissues

Toilet tube

Tupperware

Unlabeled litter

Wrapping paper

Attributes

000021.jpg

640x640

0.41MP

Updated Dec 25, 55342

1:36AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Raw Data

Source Data

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    "height": 640,
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    "label": [],
    "labels": [],
    "name": "000021.jpg",
    "numSteps": 2,
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    "preprocessing": [
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    "preprocessingParsed": [
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    "updatedTime": "1:36AM",
    "updatedTimezone": "+00:00",
    "versions": [
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    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "Clear plastic bottle",
            "x": 355.4484605,
            "y": 341.2048195,
            "width": 107.737617,
            "height": 72.53012100000001,
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                    309.277108
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                [
                    301.793842,
                    317.46988
                ]
            ]
        },
        {
            "type": "polygon",
            "label": "Other plastic",
            "x": 199.7322625,
            "y": 420.542169,
            "width": 46.90763100000001,
            "height": 27.10843399999999,
            "points": [
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                [
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                ],
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                    208.835341,
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    ],
    "height": 640,
    "key": "000021.jpg",
    "width": 640
}

TACO: Trash Annotations in Context Dataset

Dataset Versions

resize640-aug3x

3597 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Attributes

000021.jpg

Updated Dec 25, 55342

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data