Dataset Versions

2023-06-29 10:12pm

v1

2023-06-29 10:12pm

Generated on Jun 29, 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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1440 Total Images

View All Images

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Dataset Split

Train Set 100%

1440Images

Valid Set %

0Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

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 -15° and +15°

Shear: ±15° Horizontal, ±15° Vertical

Noise: Up to 5% of pixels

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Dogs

Annotate

3 / 12

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group:

Dogs

CLASSES

LAYERS

Gold Retriever

1

Unused Classes

Corgi Retriever

French Bulldog

Siberian Husky

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

Golden-83.jpg

640x640

0.41MP

Updated Jun 29, 2023

3:12PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "Corgi Retriever": 135,
        "French Bulldog": 128,
        "Gold Retriever": 148,
        "Siberian Husky": 146
    },
    "datasets": [
        "EK0RpSJ3jPp1zZnqHLhA"
    ],
    "destination": "0d1285dba973ba20d593fe40ecb80c28",
    "height": 640,
    "id": "vC7p3CvXQpox9hsN3l35",
    "label": [],
    "labels": [],
    "name": "Golden-83.jpg",
    "numSteps": 2,
    "owner": "dVhF1KgYb1OlhD2Pnw6P7iejtFw2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "vC7p3CvXQpox9hsN3l35",
    "split": "train",
    "split.EK0RpSJ3jPp1zZnqHLhA.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1688051548,
        "_nanoseconds": 993000000
    },
    "updatedDate": "Jun 29, 2023",
    "updatedTime": "3:12PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "EK0RpSJ3jPp1zZnqHLhA/1"
    ],
    "width": 640
}

{
    "boxes": [
        {
            "label": "Gold Retriever",
            "x": 312,
            "y": 164.5,
            "width": 396,
            "height": 284.5
        }
    ],
    "height": 640,
    "key": "Golden-83.jpg",
    "width": 640
}

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