Dataset Versions

v11

2023-12-08 10:40am

Generated on Dec 8, 2023

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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.

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1558 Total Images

View All Images

Dataset Split

Train Set 91%

1416Images

Valid Set 6%

100Images

Test Set 3%

42Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

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

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Rotation: Between -25° and +25°

Shear: ±15° Horizontal, ±15° Vertical

Similar Projects

Annotations

Group:

outfall-animal-rubbish

id_01396.png

1272x848

1.08MP

Updated May 3, 55904

10:18AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Crop

Keep 99%
Centered on 69%, 15%

Flip

Both

90° Rotate

Applied

Rotation

-10°

Shear

X: 0°
Y: -11°

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "VC9LBlOLTxM6xrXVcp16"
    ],
    "destination": "85c59c7cc06e2a01854ba51c41540d2b",
    "height": 848,
    "id": "qz4WTtwbXRJE2eqC9M04",
    "label": [],
    "labels": [],
    "name": "id_01396.png",
    "numSteps": 6,
    "owner": "IoMBQrjYSmQ8qIMlT4QLu8MqTuF2",
    "preprocessing": [
        "auto-orient",
        "crop:[99,0.69076,0.147244]",
        "flip:[\"both\"]",
        "ninety:[180]",
        "rotate:[-10]",
        "shear:[0,-11]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 99%<br />Centered on 69%, 15%"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "-10°"
        },
        {
            "name": "Shear",
            "value": "X: 0°<br/>Y: -11°"
        }
    ],
    "source": "qz4WTtwbXRJE2eqC9M04",
    "split": "train",
    "split.VC9LBlOLTxM6xrXVcp16.11": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[99,0.69076,0.147244]\",\n    \"flip:[\\\"both\\\"]\",\n    \"ninety:[180]\",\n    \"rotate:[-10]\",\n    \"shear:[0,-11]\"\n]",
    "updated": 1702003227508,
    "updatedDate": "May 3, 55904",
    "updatedTime": "10:18AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "VC9LBlOLTxM6xrXVcp16/11"
    ],
    "width": 1272
}

Annotation Data

{
    "boxes": [
        {
            "label": "Modified_Channel",
            "x": 457.5,
            "y": 562.1820678626788,
            "width": 352,
            "height": 519.5571849449991
        },
        {
            "label": "Aeration",
            "x": 328.5,
            "y": 425.4487634817267,
            "width": 502,
            "height": 335.169621711334
        }
    ],
    "height": 848,
    "key": "id_01396.png",
    "width": 1272
}

We do care the rivers