Dataset Versions

v10

Test Case-2 - gray version - full size

Generated on Apr 17, 2024

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168 Total Images

View All Images

Dataset Split

Train Set 82%

138Images

Valid Set 6%

10Images

Test Set 12%

20Images

Preprocessing

Auto-Orient: Applied

Grayscale: Applied

Modify Classes: 0 remapped, 6 dropped

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Saturation: Between -15% and +15%

Brightness: Between -25% and +25%

Similar Projects

Annotations

Group:

foodwaste

CLASSES

LAYERS

Brown Wrapper Paper

Cup

Drink

Metal Tray

Napkin

Straw

Utensil

Unused Classes

Aluminum Lid

Aluminum Wrapper

Bowl

Food Waste

Receipt

Red Basket

Straw Wrapper

IMG_6546.JPG

2048x1536

3.15MP

Updated Apr 17, 2024

7:46AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Resize	Fit within 2048x2048
Auto-Orient	Applied
Grayscale	Applied
Modify Classes	Applied

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": [
        "Aluminum Wrapper",
        "Brown Wrapper Paper",
        "Burrito",
        "Burrito Foodwaste",
        "Cup",
        "Drink",
        "Metal Tray",
        "Napkin",
        "Red Basket",
        "Straw",
        "Straw Wrapper",
        "Utensil"
    ],
    "datasets": [
        "9VTzc1NCpijEWEE3Ex4R"
    ],
    "destination": "d1fdccbf8a320411097627728a8955c7",
    "height": 1536,
    "id": "pFtciBusPbRu2Hg1vvSe",
    "label": [],
    "labels": [],
    "name": "IMG_6546.JPG",
    "numSteps": 4,
    "owner": "irlFBaK1adQZaP6ncsvpYzeb6nC2",
    "preprocessing": [
        "resize:[\"Fit within\",2048,2048]",
        "auto-orient",
        "grayscale",
        "remap:[\"a220d00653e12a143f2cc51707437127\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Fit within 2048x2048"
        },
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        }
    ],
    "source": "pFtciBusPbRu2Hg1vvSe",
    "split": "train",
    "split.9VTzc1NCpijEWEE3Ex4R.10": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Fit within\\\",2048,2048]\",\n    \"auto-orient\",\n    \"grayscale\",\n    \"remap:[\\\"a220d00653e12a143f2cc51707437127\\\"]\"\n]",
    "updated": {
        "_seconds": 1713340017,
        "_nanoseconds": 726000000
    },
    "updatedDate": "Apr 17, 2024",
    "updatedTime": "7:46AM",
    "updatedTimezone": "+00:00",
    "user_tags": [
        "irving"
    ],
    "versions": [
        "9VTzc1NCpijEWEE3Ex4R/10"
    ],
    "width": 2048
}

{
    "boxes": [
        {
            "label": "Brown Wrapper Paper",
            "x": 645,
            "y": 972.5,
            "width": 1290,
            "height": 1127
        },
        {
            "label": "Metal Tray",
            "x": 699.5,
            "y": 906,
            "width": 1395,
            "height": 1260
        },
        {
            "label": "Utensil",
            "x": 604.5,
            "y": 1328,
            "width": 235,
            "height": 416
        },
        {
            "label": "Napkin",
            "x": 466,
            "y": 961,
            "width": 625,
            "height": 545
        },
        {
            "label": "Cup",
            "x": 1237,
            "y": 522,
            "width": 598,
            "height": 560
        },
        {
            "label": "Straw",
            "x": 1402,
            "y": 643,
            "width": 268,
            "height": 72
        },
        {
            "label": "Drink",
            "x": 1251,
            "y": 555,
            "width": 84,
            "height": 139
        }
    ],
    "height": 1536,
    "key": "IMG_6546.JPG",
    "width": 2048
}

SP