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Heterogenous vehicle classification version 4
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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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Heterogenous vehicle classification version 1
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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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Labels
Attributes
Raw Data
Ground Truth
Model Predictions

Ground Truth Boxes

 
bus
1
 
mini bus
1
 
three wheeler
2

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

Attributes

image-45-.jpg

640x640
0.41MP

Updated Jan 4, 56790

3:29PM
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 2°
Shear X: 8°
Y: 1°
Blur 1px
Noise 0%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "e8vrOkl9DjEelVBDmqdB"
    ],
    "destination": "ef33bb458324023b3a27ddcc5521b300",
    "height": 640,
    "id": "F6xPqlrBQiReBCeAmblk",
    "label": [],
    "labels": [],
    "name": "image-45-.jpg",
    "numSteps": 10,
    "owner": "yBqVuDWH0Ag5OgvPahi1B57GV413",
    "predictions": [
        {
            "color": "#8622FF",
            "label": "three wheeler",
            "x": 0.77890625,
            "y": 0.34140625,
            "width": 0.42031249999999987,
            "height": 0.6671875,
            "normalizedCoordinates": true,
            "confidence": 0.9418880939483643
        },
        {
            "color": "#8622FF",
            "label": "mini bus",
            "x": 0.41953125,
            "y": 0.2671875,
            "width": 0.6453125,
            "height": 0.528125,
            "normalizedCoordinates": true,
            "confidence": 0.9233510494232178
        },
        {
            "color": "#8622FF",
            "label": "bus",
            "x": 0.2546875,
            "y": 0.49921875,
            "width": 0.50625,
            "height": 0.9984375,
            "normalizedCoordinates": true,
            "confidence": 0.6424062252044678
        },
        {
            "color": "#8622FF",
            "label": "car",
            "x": 0.75390625,
            "y": 0.98671875,
            "width": 0.4921875,
            "height": 0.0234375,
            "normalizedCoordinates": true,
            "confidence": 0.010228400118649006
        }
    ],
    "preprocessing": [
        "auto-orient",
        "static-crop:[25,75,25,75]",
        "resize:[\"Stretch to\",640,640]",
        "grayscale",
        "auto-contrast:[\"Adaptive Equalization\"]",
        "flip:[\"horizontal\"]",
        "rotate:[2]",
        "shear:[8,1]",
        "blur:[1]",
        "noise:[0,461061]"
    ],
    "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": "2°"
        },
        {
            "name": "Shear",
            "value": "X: 8°<br/>Y: 1°"
        },
        {
            "name": "Blur",
            "value": "1px"
        },
        {
            "name": "Noise",
            "value": "0%"
        }
    ],
    "source": "F6xPqlrBQiReBCeAmblk",
    "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:[2]\",\n    \"shear:[8,1]\",\n    \"blur:[1]\",\n    \"noise:[0,461061]\"\n]",
    "updated": 1729952436542,
    "updatedDate": "Jan 4, 56790",
    "updatedTime": "3:29PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "e8vrOkl9DjEelVBDmqdB/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "three wheeler",
            "x": 567.5356211082991,
            "y": 280.7987095028117,
            "width": 144.9287577834018,
            "height": 509.8494031523994
        },
        {
            "label": "three wheeler",
            "x": 498.4206344406705,
            "y": 215.8420098626517,
            "width": 270.84126888134097,
            "height": 427.4602752825498
        },
        {
            "label": "mini bus",
            "x": 268.8247257560218,
            "y": 169.51845358065935,
            "width": 415.6494515120436,
            "height": 338.3271319243821
        },
        {
            "label": "bus",
            "x": 163.42752740955348,
            "y": 320.5,
            "width": 326.76190332201145,
            "height": 639
        }
    ],
    "height": 640,
    "key": "image (45).jpg",
    "width": 640
}

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