Dataset Versions

v12

2023-12-09 12:57am

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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3846 Total Images

View All Images

Dataset Split

Train Set 90%

3477Images

Valid Set 6%

238Images

Test Set 3%

131Images

Preprocessing

Auto-Orient: Applied

Isolate Objects: Applied

Resize: Stretch to 512x512

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_01791.png

656x656

0.43MP

Updated Dec 19, 55905

10:18PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Static Crop

X: 58.763775% to 93.259672%
Y: 17.616797% to 79.234766%

Select annotation #1

Crop

Keep 96%
Centered on 77%, 60%

Resize

Stretch to 512x512

Flip

Both

90° Rotate

Applied

Rotation

20°

Shear

X: 12°
Y: 12°

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "VC9LBlOLTxM6xrXVcp16"
    ],
    "destination": "4c0f8eb956d3066c01febbea1418fae0",
    "height": 656,
    "id": "T4RTPzeBk5PyxORWO8Bo",
    "label": [],
    "labels": [],
    "name": "id_01791.png",
    "numSteps": 9,
    "owner": "IoMBQrjYSmQ8qIMlT4QLu8MqTuF2",
    "preprocessing": [
        "auto-orient",
        "static-crop:[\"58.763775\",\"93.259672\",\"17.616797\",\"79.234766\"]",
        "select-annotation:[0]",
        "crop:[96,0.771229,0.598416]",
        "resize:[\"Stretch to\",512,512]",
        "flip:[\"both\"]",
        "ninety:[90]",
        "rotate:[20]",
        "shear:[12,12]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 58.763775% to 93.259672%<br/>Y: 17.616797% to 79.234766%"
        },
        {
            "value": "Select annotation #1"
        },
        {
            "name": "Crop",
            "value": "Keep 96%<br />Centered on 77%, 60%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 512x512"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "20°"
        },
        {
            "name": "Shear",
            "value": "X: 12°<br/>Y: 12°"
        }
    ],
    "source": "T4RTPzeBk5PyxORWO8Bo",
    "split": "train",
    "split.VC9LBlOLTxM6xrXVcp16.12": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[\\\"58.763775\\\",\\\"93.259672\\\",\\\"17.616797\\\",\\\"79.234766\\\"]\",\n    \"select-annotation:[0]\",\n    \"crop:[96,0.771229,0.598416]\",\n    \"resize:[\\\"Stretch to\\\",512,512]\",\n    \"flip:[\\\"both\\\"]\",\n    \"ninety:[90]\",\n    \"rotate:[20]\",\n    \"shear:[12,12]\"\n]",
    "updated": 1702054678712,
    "updatedDate": "Dec 19, 55905",
    "updatedTime": "10:18PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "VC9LBlOLTxM6xrXVcp16/12"
    ],
    "width": 656
}

Annotation Data

{
    "boxes": [
        {
            "label": "Sensor",
            "x": 328,
            "y": 328,
            "width": 656,
            "height": 656
        }
    ],
    "height": 656,
    "key": "id_01791.png",
    "width": 656
}

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