Dataset Versions

v11

Augemented-ALL

Generated on Feb 11, 2023

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Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

Other Formats

Choose another format.

3382 Total Images

View All Images

Dataset Split

Train Set 82%

2786Images

Valid Set 12%

394Images

Test Set 6%

202Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2

Flip: Horizontal, Vertical

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Saturation: Between -22% and +22%

Brightness: Between -25% and +25%

Noise: Up to 2% of pixels

Cutout: 2 boxes with 10% size each

Similar Projects

Annotations

Group:

trash

batch_7_000096.JPG

640x640

0.41MP

Updated Nov 9, 55083

4:30PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Flip

Horizontal

90° Rotate

Applied

Saturation

-15%

Brightness

16%

Noise

0.5%

Cutout

Applied

Raw Data

Source Data

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    "camera": "Generated by Roboflow",
    "datasets": [
        "ckjd6qoFGK48aUwIDpw5"
    ],
    "destination": "20743bf54ac12aa1730041f37df6d9ce",
    "height": 640,
    "id": "Q84mkD2C3QfOlXASYJbM",
    "label": [],
    "labels": [],
    "name": "batch_7_000096.JPG",
    "numSteps": 8,
    "owner": "Emgc2iSm3FX7XqRGdTXgIIm4Iif1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "flip:[\"horizontal\"]",
        "ninety:[0]",
        "saturation:[-15]",
        "brightness:[16]",
        "noise:[0.5,623054]",
        "cutout:[{\"masks\":[[10,0.45317636426162333,0.6294892181856542],[10,0.3369706288917098,0.42923111958939586]]}]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Saturation",
            "value": "-15%"
        },
        {
            "name": "Brightness",
            "value": "16%"
        },
        {
            "name": "Noise",
            "value": "0.5%"
        },
        {
            "name": "Cutout",
            "value": "Applied"
        }
    ],
    "source": "Q84mkD2C3QfOlXASYJbM",
    "split": "train",
    "split.ckjd6qoFGK48aUwIDpw5.11": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"ninety:[0]\",\n    \"saturation:[-15]\",\n    \"brightness:[16]\",\n    \"noise:[0.5,623054]\",\n    \"cutout:[{\\\"masks\\\":[[10,0.45317636426162333,0.6294892181856542],[10,0.3369706288917098,0.42923111958939586]]}]\"\n]",
    "updated": 1676111416251,
    "updatedDate": "Nov 9, 55083",
    "updatedTime": "4:30PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ckjd6qoFGK48aUwIDpw5/11"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "Glass bottle",
            "x": 316.601307,
            "y": 377.64705849999996,
            "width": 115.55555599999997,
            "height": 48.36601300000001,
            "points": [
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                ],
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                ],
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                ],
                [
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                    364.705882
                ],
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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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                ],
                [
                    366.797386,
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                ],
                [
                    369.411765,
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                ],
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                ],
                [
                    374.117647,
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                ],
                [
                    374.379085,
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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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                ],
                [
                    267.712418,
                    353.986928
                ],
                [
                    261.960784,
                    353.464052
                ]
            ]
        },
        {
            "type": "polygon",
            "label": "Drink carton",
            "x": 626.6666665,
            "y": 306.5359475,
            "width": 26.143790999999965,
            "height": 36.339868999999965,
            "points": [
                [
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                ],
                [
                    635.555556,
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                ],
                [
                    639.738562,
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                ],
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                ],
                [
                    632.941176,
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                ],
                [
                    613.856209,
                    294.117647
                ],
                [
                    613.594771,
                    310.588235
                ]
            ]
        },
        {
            "type": "polygon",
            "label": "Cigarette",
            "x": 378.3006535,
            "y": 190.588235,
            "width": 15.163399000000027,
            "height": 5.751633999999996,
            "points": [
                [
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                ],
                [
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                ],
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                ],
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                    380.653595,
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                ],
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                ],
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                ],
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                    385.882353,
                    189.803922
                ],
                [
                    380.130719,
                    187.712418
                ]
            ]
        }
    ],
    "height": 640,
    "key": "batch_7_000096.JPG",
    "width": 640
}

Waste detection

Dataset Versions

Augemented-ALL

Popular Download Formats

3382 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

batch_7_000096.JPG

Updated Nov 9, 55083

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data