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TACO: Trash Annotations in Context Dataset

Instance Segmentation

Dataset Versions

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Versions
resize640-aug3x-allClasses-mappedToTrash
v16
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2 years ago
resize640-aug3x
v15
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2 years ago
resize640-noAug-allClasses-mappedToTrash
v14
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2 years ago
resize640-noAug
v13
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2 years ago
raw-images
v12
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2 years ago
v15

resize640-aug3x

Generated on May 17, 2023
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3597 Total Images

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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

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TACO: Trash Annotations in Context Dataset
Annotate
11 / 12
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group: trash
 
Other plastic wrapper
1

Unused Classes

Aerosol
Aluminium blister pack
Aluminium foil
Battery
Broken glass
Carded blister pack
Cigarette
Clear plastic bottle
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
Other plastic bottle
Other plastic container
Other plastic cup
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

000060.jpg

640x640
0.41MP

Updated Dec 24, 55342

8:06PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Crop Keep 87%
Centered on 66%, 35%
Resize Stretch to 640x640
90° Rotate Applied
Rotation -8°
Shear X: -2°
Y: -2°
Hue -13°
Saturation -20%
Brightness -4%
Exposure -1%
Blur 0.5px
Cutout Applied

Annotation History

Loading...

Raw Data

Source Data

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    "datasets": [
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    ],
    "destination": "5d02645e8ca3fddc2518c727dcb5a89d",
    "height": 640,
    "id": "U07ajgibXymuhc3N4rGb",
    "label": [],
    "labels": [],
    "name": "000060.jpg",
    "numSteps": 12,
    "owner": "arRagmpkRzqLfrKDYQ18",
    "preprocessing": [
        "auto-orient",
        "crop:[87,0.661026,0.349529]",
        "resize:[\"Stretch to\",640,640]",
        "ninety:[0]",
        "rotate:[-8]",
        "shear:[-2,-2]",
        "hue:[-13]",
        "saturation:[-20]",
        "brightness:[-4]",
        "exposure:[-1]",
        "blur:[0.5]",
        "cutout:[{\"masks\":[[2,0.30000503026295333,0.26276622672818295],[2,0.06082618241598925,0.6467747582460817],[2,0.4358905281835166,0.6200631059356561],[2,0.4379926369020155,0.907160805951662],[2,0.6501958660820262,0.5299174533574853]]}]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 87%<br />Centered on 66%, 35%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "-8°"
        },
        {
            "name": "Shear",
            "value": "X: -2°<br/>Y: -2°"
        },
        {
            "name": "Hue",
            "value": "-13°"
        },
        {
            "name": "Saturation",
            "value": "-20%"
        },
        {
            "name": "Brightness",
            "value": "-4%"
        },
        {
            "name": "Exposure",
            "value": "-1%"
        },
        {
            "name": "Blur",
            "value": "0.5px"
        },
        {
            "name": "Cutout",
            "value": "Applied"
        }
    ],
    "source": "U07ajgibXymuhc3N4rGb",
    "split": "train",
    "split.C81DPW344cTH8hw4toez.15": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[87,0.661026,0.349529]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"ninety:[0]\",\n    \"rotate:[-8]\",\n    \"shear:[-2,-2]\",\n    \"hue:[-13]\",\n    \"saturation:[-20]\",\n    \"brightness:[-4]\",\n    \"exposure:[-1]\",\n    \"blur:[0.5]\",\n    \"cutout:[{\\\"masks\\\":[[2,0.30000503026295333,0.26276622672818295],[2,0.06082618241598925,0.6467747582460817],[2,0.4358905281835166,0.6200631059356561],[2,0.4379926369020155,0.907160805951662],[2,0.6501958660820262,0.5299174533574853]]}]\"\n]",
    "updated": 1684288584402,
    "updatedDate": "Dec 24, 55342",
    "updatedTime": "8:06PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "C81DPW344cTH8hw4toez/15"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "Other plastic wrapper",
            "x": 288.66069400000003,
            "y": 292.62043900000003,
            "width": 86.43760400000002,
            "height": 126.01551999999998,
            "points": [
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                    331.879496,
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                ],
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                    324.587862,
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                ],
                [
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                ],
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                    289.706847,
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                ],
                [
                    288.56784,
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                ],
                [
                    287.293894,
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                ],
                [
                    285.639988,
                    269.255798
                ],
                [
                    252.326262,
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                ],
                [
                    245.441892,
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                ],
                [
                    246.721421,
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                ],
                [
                    249.090499,
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                ],
                [
                    252.420904,
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                ],
                [
                    255.304881,
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                ],
                [
                    257.648228,
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                [
                    264.760174,
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                [
                    264.628374,
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                ],
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                ],
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                ],
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                    288.202622,
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                ],
                [
                    288.075969,
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                ],
                [
                    289.95745,
                    288.77471
                ],
                [
                    292.73379,
                    307.451878
                ],
                [
                    294.741924,
                    312.210488
                ],
                [
                    293.591055,
                    328.773686
                ],
                [
                    303.703338,
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                ],
                [
                    307.928165,
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                ],
                [
                    310.924491,
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                ],
                [
                    317.259509,
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                ],
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                ],
                [
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                    230.554145
                ]
            ]
        }
    ],
    "height": 640,
    "key": "000060.jpg",
    "width": 640
}

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