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Hand-drawn Logic Gate Classifier

Object Detection

Dataset Versions

Try Pre-Trained Model

v11

2024-04-29 8:09pm

Generated on Apr 29, 2024

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Popular Download Formats

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.

Other Formats

Choose another format.

7164 Total Images

View All Images

Dataset Split

Train Set 86%

6156Images

Valid Set 8%

549Images

Test Set 6%

459Images

Preprocessing

Auto-Orient: Applied

Static Crop: 14-87% Horizontal Region, 19-91% Vertical Region

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Adaptive Equalization

Grayscale: Applied

Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3

Flip: Horizontal

Rotation: Between -15° and +15°

Shear: ±1° Horizontal, ±1° Vertical

Grayscale: Apply to 25% of images

Exposure: Between -10% and +10%

Similar Projects

Annotations

Group:

logicGates-terminals-text

image_320.jpg

640x640

0.41MP

Updated Dec 8, 56296

10:07AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Static Crop

X: 14% to 87%
Y: 19% to 91%

Tile

Row: 2 of 3
Column: 1 of 3

Resize

Stretch to 640x640

Grayscale

Applied

Auto-Adjust Contrast

Adaptive Equalization

Rotation

-12°

Shear

X: 0°
Y: 1°

Exposure

-7%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "bwWtC3IFq1SSH6FfhPvs"
    ],
    "destination": "238c8ced2df079ca4f5e34fe0c950279",
    "height": 640,
    "id": "KXfEzcFDlJ8sQFjpKlfQ",
    "label": [],
    "labels": [],
    "name": "image_320.jpg",
    "numSteps": 9,
    "owner": "uuJGB7xKNJgYkY1yBdyemHqhN4i1",
    "preprocessing": [
        "auto-orient",
        "static-crop:[14,87,19,91]",
        "tile:[0,1,3,3]",
        "resize:[\"Stretch to\",640,640]",
        "grayscale",
        "auto-contrast:[\"Adaptive Equalization\"]",
        "rotate:[-12]",
        "shear:[0,1]",
        "exposure:[-7]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 14% to 87%<br/>Y: 19% to 91%"
        },
        {
            "name": "Tile",
            "value": "Row: 2 of 3<br/>Column: 1 of 3"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        },
        {
            "name": "Rotation",
            "value": "-12°"
        },
        {
            "name": "Shear",
            "value": "X: 0°<br/>Y: 1°"
        },
        {
            "name": "Exposure",
            "value": "-7%"
        }
    ],
    "source": "KXfEzcFDlJ8sQFjpKlfQ",
    "split": "train",
    "split.bwWtC3IFq1SSH6FfhPvs.11": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[14,87,19,91]\",\n    \"tile:[0,1,3,3]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"grayscale\",\n    \"auto-contrast:[\\\"Adaptive Equalization\\\"]\",\n    \"rotate:[-12]\",\n    \"shear:[0,1]\",\n    \"exposure:[-7]\"\n]",
    "updated": 1714392554859,
    "updatedDate": "Dec 8, 56296",
    "updatedTime": "10:07AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "bwWtC3IFq1SSH6FfhPvs/11"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "not",
            "x": 613,
            "y": 276.06632967411565,
            "width": 54,
            "height": 89.31416280979158
        },
        {
            "label": "not",
            "x": 599,
            "y": 396.4848800567622,
            "width": 78,
            "height": 84.45379072525452
        },
        {
            "label": "junction",
            "x": 172,
            "y": 127.00066672748432,
            "width": 20,
            "height": 17.116356596219134
        },
        {
            "label": "junction",
            "x": 235,
            "y": 105.86719000557451,
            "width": 21,
            "height": 16.122174426030085
        }
    ],
    "height": 640,
    "key": "image_320.jpg",
    "width": 640
}

Hand-drawn Logic Gate Classifier

Dataset Versions

2024-04-29 8:09pm

Popular Download Formats

7164 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

image_320.jpg

Updated Dec 8, 56296

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data