Dataset Versions

v5

2024-03-25 9:37pm

Generated on Mar 25, 2024

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Dataset Split

Train Set 85%
500Images
Valid Set 11%
65Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 2
Shear: ±1° Horizontal, ±1° Vertical
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.3% of pixels

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Hand-drawn Logic Gate Classifier
Annotate
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train
Labels
Attributes
Raw Data

Annotations

Group:
logicGates-terminals-text

Classes

Layers

 
and
5
 
not
1
 
or
3
 
output
3
 
xor
4

Unused Classes

input
intersection
junction
nand
nor
xnor

Tags

No Tags Applied
Type and select tags below to add them to the image.

Attributes

image_450.jpg

640x640
0.41MP

Updated Apr 12, 56201

8:09PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 640x640
Grayscale Applied
Shear X: 0°
Y: 0°
Brightness -2%
Exposure 5%
Noise 0.14%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "and": 875,
        "input": 1554,
        "junction": 2344,
        "nand": 538,
        "nor": 713,
        "not": 736,
        "or": 932,
        "output": 805,
        "xnor": 711,
        "xor": 415
    },
    "datasets": [
        "bwWtC3IFq1SSH6FfhPvs"
    ],
    "destination": "2ad252ad65cc7d44aba6d7621058d35f",
    "height": 640,
    "id": "0Cr48bJ9stX55Dz7ednw",
    "label": [],
    "labels": [],
    "name": "image_450.jpg",
    "numSteps": 7,
    "owner": "uuJGB7xKNJgYkY1yBdyemHqhN4i1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "grayscale",
        "shear:[0,0]",
        "brightness:[-2]",
        "exposure:[5]",
        "noise:[0.14,744296]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Shear",
            "value": "X: 0°<br/>Y: 0°"
        },
        {
            "name": "Brightness",
            "value": "-2%"
        },
        {
            "name": "Exposure",
            "value": "5%"
        },
        {
            "name": "Noise",
            "value": "0.14%"
        }
    ],
    "source": "0Cr48bJ9stX55Dz7ednw",
    "split": "train",
    "split.bwWtC3IFq1SSH6FfhPvs.5": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"grayscale\",\n    \"shear:[0,0]\",\n    \"brightness:[-2]\",\n    \"exposure:[5]\",\n    \"noise:[0.14,744296]\"\n]",
    "updated": 1711373861381,
    "updatedDate": "Apr 12, 56201",
    "updatedTime": "8:09PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "bwWtC3IFq1SSH6FfhPvs/5"
    ],
    "width": 640
}
                            
                            

Annotation Data

{
    "boxes": [
        {
            "label": "and",
            "x": 222,
            "y": 156,
            "width": 21,
            "height": 18.5
        },
        {
            "label": "and",
            "x": 280.5,
            "y": 173,
            "width": 22,
            "height": 19.5
        },
        {
            "label": "xor",
            "x": 221.5,
            "y": 222.5,
            "width": 25,
            "height": 19.5
        },
        {
            "label": "xor",
            "x": 222.5,
            "y": 256,
            "width": 24,
            "height": 20.5
        },
        {
            "label": "xor",
            "x": 224.5,
            "y": 287.5,
            "width": 28,
            "height": 19
        },
        {
            "label": "xor",
            "x": 224.5,
            "y": 320,
            "width": 26,
            "height": 20
        },
        {
            "label": "or",
            "x": 338.5,
            "y": 189,
            "width": 22,
            "height": 20
        },
        {
            "label": "or",
            "x": 456.5,
            "y": 286,
            "width": 23,
            "height": 18.5
        },
        {
            "label": "or",
            "x": 400,
            "y": 335,
            "width": 22.5,
            "height": 19
        },
        {
            "label": "and",
            "x": 340.5,
            "y": 286.5,
            "width": 22,
            "height": 19.5
        },
        {
            "label": "and",
            "x": 341.5,
            "y": 320.5,
            "width": 23,
            "height": 20.5
        },
        {
            "label": "and",
            "x": 342.5,
            "y": 352.5,
            "width": 23,
            "height": 18
        },
        {
            "label": "output",
            "x": 269,
            "y": 222.5,
            "width": 10.5,
            "height": 9
        },
        {
            "label": "output",
            "x": 443.5,
            "y": 188,
            "width": 13,
            "height": 10.5
        },
        {
            "label": "output",
            "x": 503,
            "y": 286,
            "width": 11,
            "height": 9
        },
        {
            "label": "not",
            "x": 392,
            "y": 188,
            "width": 26.5,
            "height": 19
        }
    ],
    "height": 640,
    "key": "image_450.jpg",
    "width": 640
}
                                

                                

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