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Lego Blocks and Robot Dataset for Project 3

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-04-05 3:11pm

Generated on Apr 5, 2023

Download Dataset

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

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822 Total Images

View All Images

Dataset Split

Train Set 87%

717Images

Valid Set 8%

68Images

Test Set 5%

37Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3

Shear: ±30° Horizontal, ±30° Vertical

Saturation: Between -50% and +50%

Brightness: Between -50% and +50%

Blur: Up to 1px

Bounding Box: Flip: Horizontal, Vertical

Bounding Box: Brightness: Between -25% and +25%

Similar Projects

Annotations

Group:

legos-and-robots

129.jpg

640x640

0.41MP

Updated Dec 15, 55229

8:48PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Flip

Applied Per Bounding Box

Brightness

Applied Per Bounding Box

Shear

X: -20°
Y: -3°

Saturation

-7%

Brightness

41%

Blur

0.75px

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "blue-4": 230,
        "blue-8": 132,
        "cone": 76,
        "green-16": 68,
        "green-4": 148,
        "green-8": 137,
        "orange-4": 83,
        "orange-8": 119,
        "red-16": 60,
        "red-4": 129,
        "red-8": 126,
        "robot": 74,
        "yellow-16": 51,
        "yellow-4": 155,
        "yellow-8": 150
    },
    "datasets": [
        "QFnMYTcZhTc45mW7JHPM"
    ],
    "destination": "d6d453997192cccdf1f2dfac97b795a8",
    "height": 640,
    "id": "J9EwFsoHzBB5eYIaw6h7",
    "label": [],
    "labels": [],
    "name": "129.jpg",
    "numSteps": 8,
    "owner": "qccACIC1q0UoSPNdpB4gQi7FA3s2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "flip:[[],[\"horizontal\"],[\"vertical\"],[\"vertical\"]]",
        "brightness:[[-10],[19],[1],[13]]",
        "shear:[-20,-3]",
        "saturation:[-7]",
        "brightness:[41]",
        "blur:[0.75]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Brightness",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Shear",
            "value": "X: -20°<br/>Y: -3°"
        },
        {
            "name": "Saturation",
            "value": "-7%"
        },
        {
            "name": "Brightness",
            "value": "41%"
        },
        {
            "name": "Blur",
            "value": "0.75px"
        }
    ],
    "source": "J9EwFsoHzBB5eYIaw6h7",
    "split": "train",
    "split.QFnMYTcZhTc45mW7JHPM.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[[],[\\\"horizontal\\\"],[\\\"vertical\\\"],[\\\"vertical\\\"]]\",\n    \"brightness:[[-10],[19],[1],[13]]\",\n    \"shear:[-20,-3]\",\n    \"saturation:[-7]\",\n    \"brightness:[41]\",\n    \"blur:[0.75]\"\n]",
    "updated": 1680721908481,
    "updatedDate": "Dec 15, 55229",
    "updatedTime": "8:48PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "QFnMYTcZhTc45mW7JHPM/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "orange-8",
            "x": 135.37657812379737,
            "y": 374.36681584538496,
            "width": 95.86040459476908,
            "height": 126.41822402541766
        },
        {
            "label": "green-8",
            "x": 243.6752694728707,
            "y": 455.3071181838553,
            "width": 104.89612019910874,
            "height": 137.55350077861135
        },
        {
            "label": "blue-4",
            "x": 23.430985878746437,
            "y": 386.4614236367711,
            "width": 46.861971757492874,
            "height": 88.08721045416792
        },
        {
            "type": "polygon",
            "label": "green-8",
            "x": 392.831102,
            "y": 514.197586,
            "width": 55.48051800000002,
            "height": 155.39845999999994,
            "points": [
                [
                    373.077852,
                    573.413427
                ],
                [
                    373.934994,
                    583.156295
                ],
                [
                    381.396032,
                    591.896816
                ],
                [
                    392.415513,
                    587.269093
                ],
                [
                    412.389541,
                    570.066013
                ],
                [
                    419.636296,
                    559.294616
                ],
                [
                    420.571361,
                    551.294616
                ],
                [
                    407.41553,
                    450.397659
                ],
                [
                    400.870076,
                    438.092856
                ],
                [
                    390.577869,
                    436.498356
                ],
                [
                    385.831114,
                    447.226115
                ],
                [
                    383.675266,
                    482.74676
                ],
                [
                    378.850587,
                    511.217388
                ],
                [
                    375.811625,
                    520.141187
                ],
                [
                    368.668767,
                    530.023694
                ],
                [
                    365.090843,
                    547.827655
                ],
                [
                    373.077852,
                    573.413427
                ]
            ]
        }
    ],
    "height": 640,
    "key": "129.jpg",
    "width": 640
}

Lego Blocks and Robot Dataset for Project 3

Dataset Versions

2023-04-05 3:11pm

Popular Download Formats

822 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

129.jpg

Updated Dec 15, 55229

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data