Dataset Versions

v14

2024-03-11 10:14am

Generated on Mar 11, 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.

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2930 Total Images

View All Images

Dataset Split

Train Set 90%

2631Images

Valid Set 7%

205Images

Test Set 3%

94Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3

Rotation: Between -15° and +15°

Shear: ±10° Horizontal, ±10° Vertical

Similar Projects

Annotations

Group:

aruco

CLASSES

LAYERS

aruco

images194.jpg

1280x1280

1.64MP

Updated Mar 11, 2024

4:47AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 1280x1280
Rotation	-7°
Shear	X: 0° Y: 2°

Raw Data

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    "height": 1280,
    "id": "7TrsWuEZOXx72zWh7EEh",
    "label": [],
    "labels": [],
    "name": "images194.jpg",
    "numSteps": 4,
    "owner": "WitYC87m6qY8ZtcxmKuvnfMusax2",
    "preprocessing": [
        "auto-orient",
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        "shear:[0,2]"
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    "preprocessingParsed": [
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            "name": "Auto-Orient",
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        {
            "name": "Resize",
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        },
        {
            "name": "Rotation",
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        {
            "name": "Shear",
            "value": "X: 0°<br/>Y: 2°"
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    "source": "7TrsWuEZOXx72zWh7EEh",
    "split": "train",
    "split.f7tmTb0pBskcoDinArjV.14": "train",
    "status": "generated",
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aruco markers 2