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Heterogenous vehicle classification version 4
v4
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5 months ago
Heterogenous vehicle classification version 3
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Heterogenous vehicle classification version 2
v2
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5 months ago
Heterogenous vehicle classification version 1
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5 months ago
v2

Heterogenous vehicle classification version 2

Generated on Oct 26, 2024
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1093 Total Images

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Dataset Split

Train Set 88%
957Images
Valid Set 8%
90Images
Test Set 4%
46Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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vehicle classification
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train
Labels
Attributes
Raw Data
Ground Truth
Model Predictions

Ground Truth Boxes

 
ambulance
1
 
car
1

Since this image is a processed & augmented version of the original image, you can't modify annotations here.

Attributes

gettyimages-1241806419-612x612-1-.jpg

640x640
0.41MP

Updated Jan 4, 56790

3:48PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Static Crop X: 25% to 75%
Y: 25% to 75%
Resize Stretch to 640x640
Grayscale Applied
Auto-Adjust Contrast Adaptive Equalization
Flip Horizontal
Rotation -11°
Shear X: 4°
Y: -5°
Blur 0.75px
Noise 0.05%

Annotation History

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Raw Data

Source Data

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    "datasets": [
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    ],
    "destination": "0d851c51b3f5120c65b31b3e59ab2aad",
    "height": 640,
    "id": "g7n0wx9d6frkx7RK80aY",
    "label": [],
    "labels": [],
    "name": "gettyimages-1241806419-612x612-1-.jpg",
    "numSteps": 10,
    "owner": "yBqVuDWH0Ag5OgvPahi1B57GV413",
    "predictions": [
        {
            "color": "#8622FF",
            "label": "car",
            "x": 0.11328125,
            "y": 0.45781249999999996,
            "width": 0.21718749999999998,
            "height": 0.31249999999999994,
            "normalizedCoordinates": true,
            "confidence": 0.945933997631073
        },
        {
            "color": "#8622FF",
            "label": "ambulance",
            "x": 0.55546875,
            "y": 0.4984375,
            "width": 0.8765624999999999,
            "height": 0.9937500000000001,
            "normalizedCoordinates": true,
            "confidence": 0.5437211990356445
        }
    ],
    "preprocessing": [
        "auto-orient",
        "static-crop:[25,75,25,75]",
        "resize:[\"Stretch to\",640,640]",
        "grayscale",
        "auto-contrast:[\"Adaptive Equalization\"]",
        "flip:[\"horizontal\"]",
        "rotate:[-11]",
        "shear:[4,-5]",
        "blur:[0.75]",
        "noise:[0.05,5228]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 25% to 75%<br/>Y: 25% to 75%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "Rotation",
            "value": "-11°"
        },
        {
            "name": "Shear",
            "value": "X: 4°<br/>Y: -5°"
        },
        {
            "name": "Blur",
            "value": "0.75px"
        },
        {
            "name": "Noise",
            "value": "0.05%"
        }
    ],
    "source": "g7n0wx9d6frkx7RK80aY",
    "split": "train",
    "split.e8vrOkl9DjEelVBDmqdB.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[25,75,25,75]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"grayscale\",\n    \"auto-contrast:[\\\"Adaptive Equalization\\\"]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"rotate:[-11]\",\n    \"shear:[4,-5]\",\n    \"blur:[0.75]\",\n    \"noise:[0.05,5228]\"\n]",
    "updated": 1729952437721,
    "updatedDate": "Jan 4, 56790",
    "updatedTime": "3:48PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "e8vrOkl9DjEelVBDmqdB/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "car",
            "x": 72.85456358571136,
            "y": 292.5795961362579,
            "width": 136.53867537933348,
            "height": 198.84080772748416
        },
        {
            "label": "ambulance",
            "x": 351,
            "y": 319.097992124606,
            "width": 578,
            "height": 638.195984249212
        }
    ],
    "height": 640,
    "key": "gettyimages-1241806419-612x612 (1).jpg",
    "width": 640
}

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