Dataset Versions

2024-02-20 9:09pm

Generated on Feb 20, 2024

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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

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1820 Total Images

View All Images

Dataset Split

Train Set 91%

1650Images

Valid Set 3%

51Images

Test Set 7%

119Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Noise: Up to 0.51% of pixels

Similar Projects

Annotations

Group: -oil-nooil

truecolor

Unused Classes

]]]

object

rainbow

sheen

Attributes

img-34-.jpg

640x640

0.41MP

Updated Jun 3, 56108

4:32PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Noise

0.05%

Raw Data

Source Data

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    "destination": "64abc9b9beeb5270a1b2af5afc543703",
    "height": 640,
    "id": "9EVVuLPT6BbplGPJ6mXT",
    "label": [],
    "labels": [],
    "name": "img-34-.jpg",
    "numSteps": 3,
    "owner": "j0PqL0ko2TN96zXHJgrPLQfKdHl1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "noise:[0.05,710844]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Noise",
            "value": "0.05%"
        }
    ],
    "source": "9EVVuLPT6BbplGPJ6mXT",
    "split": "train",
    "split.53RV7Wsllwr4BwkmiJMe.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"noise:[0.05,710844]\"\n]",
    "updated": 1708443592332,
    "updatedDate": "Jun 3, 56108",
    "updatedTime": "4:32PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "53RV7Wsllwr4BwkmiJMe/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "truecolor",
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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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                ],
                [
                    371.2,
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                ],
                [
                    487.04,
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                ],
                [
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        },
        {
            "type": "polygon",
            "label": "truecolor",
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        },
        {
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        }
    ],
    "height": 640,
    "key": "img-34-_jpg.rf.aaacf3025153bd8d5d9dd5650904e6cd.jpg",
    "width": 640
}

Oil Spill Detection