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sanxing_quelou_object_detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-03-14 10:02am

Generated on Mar 14, 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

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145 Total Images

View All Images

Dataset Split

Train Set 87%

126Images

Valid Set 9%

13Images

Test Set 4%

6Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Rotation: Between -15° and +15°

Shear: ±15° Horizontal, ±15° Vertical

Saturation: Between -54% and +54%

Brightness: Between -24% and +24%

Exposure: Between -11% and +11%

Blur: Up to 1.5px

Noise: Up to 5% of pixels

Cutout: 3 boxes with 10% size each

Similar Projects

Annotations

Group:

workpiece

20230519144320573x6.jpg

640x640

0.41MP

Updated Nov 2, 56169

6:31PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Auto-Adjust Contrast

Contrast Stretching

90° Rotate

Applied

Rotation

-9°

Shear

X: -6°
Y: -5°

Saturation

-25%

Brightness

Exposure

Blur

1px

Noise

1.54%

Cutout

Applied

Raw Data

Source Data

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    "height": 640,
    "id": "fats8Ai9XPu8TXGPZi5o",
    "label": [],
    "labels": [],
    "name": "20230519144320573x6.jpg",
    "numSteps": 12,
    "owner": "wDSqthV9NlfRzHdLib6AvGp948o2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Contrast Stretching\"]",
        "ninety:[90]",
        "rotate:[-9]",
        "shear:[-6,-5]",
        "saturation:[-25]",
        "brightness:[2]",
        "exposure:[4]",
        "blur:[1]",
        "noise:[1.54,140647]",
        "cutout:[{\"masks\":[[10,0.555296408578255,0.21276958117752653],[10,0.09153016619017884,0.8477801047822104],[10,0.8896999571691135,0.9632601497348177]]}]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Contrast Stretching"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "-9°"
        },
        {
            "name": "Shear",
            "value": "X: -6°<br/>Y: -5°"
        },
        {
            "name": "Saturation",
            "value": "-25%"
        },
        {
            "name": "Brightness",
            "value": "2%"
        },
        {
            "name": "Exposure",
            "value": "4%"
        },
        {
            "name": "Blur",
            "value": "1px"
        },
        {
            "name": "Noise",
            "value": "1.54%"
        },
        {
            "name": "Cutout",
            "value": "Applied"
        }
    ],
    "source": "fats8Ai9XPu8TXGPZi5o",
    "split": "train",
    "split.HFWJf11Ov6X77VfZDIVd.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"auto-contrast:[\\\"Contrast Stretching\\\"]\",\n    \"ninety:[90]\",\n    \"rotate:[-9]\",\n    \"shear:[-6,-5]\",\n    \"saturation:[-25]\",\n    \"brightness:[2]\",\n    \"exposure:[4]\",\n    \"blur:[1]\",\n    \"noise:[1.54,140647]\",\n    \"cutout:[{\\\"masks\\\":[[10,0.555296408578255,0.21276958117752653],[10,0.09153016619017884,0.8477801047822104],[10,0.8896999571691135,0.9632601497348177]]}]\"\n]",
    "updated": 1710381724271,
    "updatedDate": "Nov 2, 56169",
    "updatedTime": "6:31PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "HFWJf11Ov6X77VfZDIVd/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "empty",
            "x": 131.58564525073342,
            "y": 508.64999427834186,
            "width": 153.71430388138594,
            "height": 139.33545720753887
        },
        {
            "label": "empty",
            "x": 159.54915258804678,
            "y": 394.4516656006175,
            "width": 143.36509618646846,
            "height": 129.0444869251537
        },
        {
            "label": "empty",
            "x": 179.32694685078587,
            "y": 271.5006616629205,
            "width": 152.50477926443546,
            "height": 133.30636017930033
        },
        {
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            "y": 150.08410527340726,
            "width": 152.4000169559602,
            "height": 130.30636017930033
        },
        {
            "label": "empty",
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            "y": 539.7218954661422,
            "width": 136.81906618986125,
            "height": 141.84080772748416
        },
        {
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            "x": 300.26343527448245,
            "y": 412.83443610486745,
            "width": 150.60954157291076,
            "height": 136.24816612282325
        },
        {
            "label": "empty",
            "x": 322.9190068440004,
            "y": 293.29614108245494,
            "width": 133.01588849155098,
            "height": 118.75351664276855
        },
        {
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            "y": 556.0809194620989,
            "width": 172.95874926782813,
            "height": 146.88830074407065
        },
        {
            "label": "empty",
            "x": 443.5475594999016,
            "y": 429.14446403852116,
            "width": 175.30795696274572,
            "height": 156.94649480054773
        },
        {
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            "x": 483.59201760331405,
            "y": 326.58242250781535,
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        {
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            "width": 171.2381154237621,
            "height": 154.83010668759363
        },
        {
            "label": "box",
            "x": 319.9634437524625,
            "y": 349.3252381106934,
            "width": 580.6254724543622,
            "height": 578.3234328418074
        }
    ],
    "height": 640,
    "key": "20230519144320573x6.jpg",
    "width": 640
}

sanxing_quelou_object_detection

Dataset Versions

2024-03-14 10:02am

Popular Download Formats

145 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

20230519144320573x6.jpg

Updated Nov 2, 56169

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data