Dataset Versions

Versions
2024-05-24 1:06pm
v5
·
10 months ago
v5

2024-05-24 1:06pm

Generated on May 24, 2024
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1109 Total Images

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Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image

Dataset Split

Train Set 90%
993Images
Valid Set 9%
95Images
Test Set 2%
21Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

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GarbageImages ClassOversampling
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Labels
Attributes
Raw Data

Annotations

Group:
garbage-waste-0YnE

Classes

Layers

 
Garbage
1
 
Glass
2
 
Plastic
1
 
Base : background

Unused Classes

Cardboard
Contaminated_Waste
Crisp_Packet
Disposable
E-Waste
Medical_Textiles
Metal
Paper
Rubber
Styrofoam
Trash_Bag

Tags

No Tags Applied
Type and select tags below to add them to the image.

Attributes

image249_jpeg.jpg

640x640
0.41MP

Updated Nov 12, 56364

4:04PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied

Annotation History

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Raw Data

Source Data

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    "destination": "c29a01adec17422aef7f4c1a0566fe1d",
    "height": 640,
    "id": "uPFNJ1zTJR4Orn1HJn9W",
    "label": [],
    "labels": [],
    "name": "image249_jpeg.jpg",
    "numSteps": 1,
    "owner": "FdFybNsdwdQchOJQITmIYhgXSZS2",
    "preprocessing": [
        "auto-orient"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        }
    ],
    "source": "uPFNJ1zTJR4Orn1HJn9W",
    "split": "train",
    "split.odf0cuyCSKgoqZDZkRwU.5": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\"\n]",
    "updated": 1716536160259,
    "updatedDate": "Nov 12, 56364",
    "updatedTime": "4:04PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "odf0cuyCSKgoqZDZkRwU/5"
    ],
    "width": 640
}

Annotation Data

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    "boxes": [
        {
            "type": "polygon",
            "label": "Garbage",
            "x": 290,
            "y": 319.134,
            "width": 580,
            "height": 638.268,
            "points": [
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                ],
                [
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                ],
                [
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                ],
                [
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                ],
                [
                    364.375,
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                ],
                [
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                ],
                [
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                ],
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                ],
                [
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                ],
                [
                    567.5,
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                ],
                [
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                ],
                [
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                ],
                [
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                ],
                [
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                [
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                [
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                [
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                ],
                [
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                ],
                [
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                ],
                [
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                ],
                [
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                ],
                [
                    0,
                    245.999
                ],
                [
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                    424.562
                ]
            ],
            "keypoints": []
        },
        {
            "type": "polygon",
            "label": "Glass",
            "x": 433.75,
            "y": 374.6975,
            "width": 82.5,
            "height": 285.891,
            "points": [
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            "keypoints": []
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            "width": 72.5,
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                [
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                ],
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            ],
            "keypoints": []
        },
        {
            "type": "polygon",
            "label": "Plastic",
            "x": 184.375,
            "y": 574.547,
            "width": 176.25,
            "height": 130.906,
            "points": [
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                ],
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                    114.375,
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                ],
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                ],
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            "keypoints": []
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    ],
    "height": 640,
    "key": "image249_jpeg_jpg.rf.99e8686e2d6a6aed77456f5a6dfd6260.jpg",
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}

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