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Dataset Format Conversion

Object Detection

Dataset Versions

Try Pre-Trained Model

dataset-1200-ssd

Generated on Jun 27, 2022

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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.

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1200 Total Images

View All Images

Dataset Split

Train Set 70%

840Images

Valid Set 20%

240Images

Test Set 10%

120Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group: Cones

Cone

Attributes

image898.jpg

416x416

0.17MP

Updated Jun 16, 54539

12:59AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 416x416

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "hvf1pbBnWCBzhl8q2nXD"
    ],
    "destination": "79aff86216a2cd6444ff384ed935568d",
    "height": 416,
    "id": "RJbUPUMegVeMgklWYSMS",
    "label": [],
    "labels": [],
    "name": "image898.jpg",
    "numSteps": 2,
    "owner": "SGnahfZqqaWWzar1z6YSYcy4InB3",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        }
    ],
    "source": "RJbUPUMegVeMgklWYSMS",
    "split": "train",
    "split.hvf1pbBnWCBzhl8q2nXD.1": "train",
    "split.hvf1pbBnWCBzhl8q2nXD.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\"\n]",
    "updated": 1658931757184,
    "updatedDate": "Jun 16, 54539",
    "updatedTime": "12:59AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "hvf1pbBnWCBzhl8q2nXD/1",
        "hvf1pbBnWCBzhl8q2nXD/2"
    ],
    "width": 416
}

Annotation Data

{
    "boxes": [
        {
            "label": "Cone",
            "x": 216.5,
            "y": 271.5,
            "width": 34.5,
            "height": 90
        },
        {
            "label": "Cone",
            "x": 261.5,
            "y": 268.5,
            "width": 41,
            "height": 58
        },
        {
            "label": "Cone",
            "x": 104,
            "y": 257.5,
            "width": 34.5,
            "height": 84.5
        },
        {
            "label": "Cone",
            "x": 176.5,
            "y": 229.5,
            "width": 22,
            "height": 58.5
        },
        {
            "label": "Cone",
            "x": 164.5,
            "y": 221.5,
            "width": 14.5,
            "height": 54.5
        },
        {
            "label": "Cone",
            "x": 207.5,
            "y": 210.5,
            "width": 11,
            "height": 63
        },
        {
            "label": "Cone",
            "x": 74,
            "y": 200.5,
            "width": 14,
            "height": 41.5
        },
        {
            "label": "Cone",
            "x": 87.5,
            "y": 204,
            "width": 16.5,
            "height": 43.5
        },
        {
            "label": "Cone",
            "x": 104.5,
            "y": 224.5,
            "width": 23.5,
            "height": 55
        },
        {
            "label": "Cone",
            "x": 119,
            "y": 210.5,
            "width": 15,
            "height": 46
        },
        {
            "label": "Cone",
            "x": 43.5,
            "y": 193.5,
            "width": 13.5,
            "height": 33.5
        },
        {
            "label": "Cone",
            "x": 34,
            "y": 190,
            "width": 11,
            "height": 32
        }
    ],
    "height": 416,
    "key": "image898.jpg",
    "width": 416
}

Dataset Format Conversion

Dataset Versions

dataset-1200-ssd

Popular Download Formats

1200 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Attributes

image898.jpg

Updated Jun 16, 54539

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data