Dataset Versions

Try Pre-Trained Model

2024-06-14 2:24pm

v1

2024-06-14 2:24pm

Generated on Jun 14, 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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5194 Total Images

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Dataset Split

Train Set 92%

4783Images

Valid Set 5%

275Images

Test Set 3%

136Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

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frame52.png

640x640

0.41MP

Updated Feb 20, 56423

2:30PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

Source Data

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    "height": 640,
    "id": "3ZPwKZj9mNQjKjq3vPla",
    "label": [],
    "labels": [],
    "name": "frame52.png",
    "numSteps": 2,
    "owner": "QM07ThHSYGcpSmm5LTt7",
    "preprocessing": [
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    "preprocessingParsed": [
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            "name": "Auto-Orient",
            "value": "Applied"
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        {
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            "value": "Stretch to 640x640"
        }
    ],
    "source": "3ZPwKZj9mNQjKjq3vPla",
    "split": "train",
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    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1718375092222,
    "updatedDate": "Feb 20, 56423",
    "updatedTime": "2:30PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "bLpTnLy2QLiH5uMy7fUE/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [],
    "height": 640,
    "key": "frame52.png",
    "width": 640
}

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