Dataset Versions

v2

2024-05-10 10:03am

Generated on May 10, 2024

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Dataset Split

Train Set 92%
6885Images
Valid Set 4%
287Images
Test Set 4%
286Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Noise: Up to 0.18% of pixels

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demo_water_gun_detection
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train
Labels
Attributes
Raw Data

Annotations

Group:
gun-7MHP

Classes

Layers

 
water gun
1

Tags

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Attributes

442468334_7576372125732371_5255700462391844163_n_mp4-1961.jpg

640x640
0.41MP

Updated Jan 7, 56326

6:30AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Flip Both
90° Rotate Applied
Rotation -5°
Shear X: -1°
Y: -9°
Brightness 1%
Noise 0.17%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "D1l46ptD4H3A8fNbSKsu"
    ],
    "destination": "1bf16f309f678d3f5cfa44221abf208d",
    "height": 640,
    "id": "3K4T6Ifs4XOpDVbCc93d",
    "label": [],
    "labels": [],
    "name": "442468334_7576372125732371_5255700462391844163_n_mp4-1961.jpg",
    "numSteps": 8,
    "owner": "3HDCbx9t1sWYKqofhXn8OsExiDf2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "flip:[\"both\"]",
        "ninety:[90]",
        "rotate:[-5]",
        "shear:[-1,-9]",
        "brightness:[1]",
        "noise:[0.17,851670]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "-5°"
        },
        {
            "name": "Shear",
            "value": "X: -1°<br/>Y: -9°"
        },
        {
            "name": "Brightness",
            "value": "1%"
        },
        {
            "name": "Noise",
            "value": "0.17%"
        }
    ],
    "source": "3K4T6Ifs4XOpDVbCc93d",
    "split": "train",
    "split.D1l46ptD4H3A8fNbSKsu.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[\\\"both\\\"]\",\n    \"ninety:[90]\",\n    \"rotate:[-5]\",\n    \"shear:[-1,-9]\",\n    \"brightness:[1]\",\n    \"noise:[0.17,851670]\"\n]",
    "updated": 1715310196208,
    "updatedDate": "Jan 7, 56326",
    "updatedTime": "6:30AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "D1l46ptD4H3A8fNbSKsu/2"
    ],
    "width": 640
}
                            
                            

Annotation Data

{
    "boxes": [
        {
            "label": "water gun",
            "x": 338.99609099386805,
            "y": 240.65515115412447,
            "width": 352.222410987785,
            "height": 400.3427227490644
        }
    ],
    "height": 640,
    "key": "442468334_7576372125732371_5255700462391844163_n_mp4-1961.jpg",
    "width": 640
}
                                

                                

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