Dataset Versions

2024-01-17 12:32am

2024-01-12 3:44pm

2024-01-12 4:14am

v3

2024-01-17 12:32am

Generated on Jan 16, 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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7131 Total Images

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Dataset Split

Train Set 88%

6240Images

Valid Set 8%

594Images

Test Set 4%

297Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Vertical

90° Rotate: Clockwise, Counter-Clockwise

Saturation: Between -25% and +25%

Exposure: Between -15% and +15%

Blur: Up to 2.5px

Noise: Up to 0.1% of pixels

Cutout: 3 boxes with 10% size each

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detect

Annotate

12 / 12

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valid

Labels

Attributes

Raw Data

Annotations

Group:

firearms

Classes

Layers

0

1

Tags

No Tags Applied

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Attributes

armas-752-.jpg

640x640

0.41MP

Updated May 19, 56013

12:12PM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "sw7JByBwzXsbwGyHm7we"
    ],
    "destination": "01febebfb99f1fef40c6890072f8f876",
    "height": 640,
    "id": "4CFpIOIdTc7vCb2SxnFT",
    "label": [],
    "labels": [],
    "name": "armas-752-.jpg",
    "numSteps": 2,
    "owner": "o3fZ8eDxQYZuB2kfF0mCMjPprY63",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "4CFpIOIdTc7vCb2SxnFT",
    "split": "valid",
    "split.sw7JByBwzXsbwGyHm7we.2": "valid",
    "split.sw7JByBwzXsbwGyHm7we.3": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1705444373528,
    "updatedDate": "May 19, 56013",
    "updatedTime": "12:12PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "sw7JByBwzXsbwGyHm7we/2",
        "sw7JByBwzXsbwGyHm7we/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "0",
            "x": 360,
            "y": 484.5,
            "width": 75.5,
            "height": 78.5
        }
    ],
    "height": 640,
    "key": "armas (752)_jpg.rf.15c7f305fe3e027c6d88c2f2d23630be.jpg",
    "width": 640
}

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