Dataset Versions

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2024-10-28 3:00am

2024-09-04 9:39am

2024-07-29 1:31pm

2024-06-20 6:34am

2024-05-22 7:01am

v4

2024-09-04 9:39am

Generated on Sep 4, 2024

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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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361 Total Images

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Dataset Split

Train Set 67%

242Images

Valid Set 22%

78Images

Test Set 11%

41Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

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ACER king

Annotate

000000001234.png

10 / 12

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train

Labels

Attributes

Raw Data

Annotations

Group:

acer-28Be

CLASSES

LAYERS

2

1

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Attributes

000000001234.png

256x256

0.07MP

Updated Oct 28, 2024

3:00AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Annotation History

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Raw Data

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    "label": [],
    "labels": [],
    "name": "000000001234.png",
    "numSteps": 1,
    "owner": "BFFraBpwlFNYv1nHfUkNzcJsB0z2",
    "preprocessing": [
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    "preprocessingParsed": [
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            "name": "Auto-Orient",
            "value": "Applied"
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    "source": "0M3crBvyXdmogBDZxePe",
    "split": "train",
    "split.V53rFIY3yI2ByoAT6nUP.4": "train",
    "split.V53rFIY3yI2ByoAT6nUP.5": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\"\n]",
    "updated": {
        "_seconds": 1730084425,
        "_nanoseconds": 134000000
    },
    "updatedDate": "Oct 28, 2024",
    "updatedTime": "3:00AM",
    "updatedTimezone": "+00:00",
    "versions": [
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    ],
    "width": 256
}

{
    "boxes": [
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            "width": 91.27000000000001,
            "height": 91.27
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    ],
    "height": 256,
    "key": "000000001234.png",
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}

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