sanxing_quelou_object_detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2025-03-24 2:27pm

2024-10-18 1:26am

2024-03-25 12:09pm

2024-03-22 2:38pm

2024-03-14 10:02am

2023-11-09 1:40am

2023-11-09 1:37am

v2

2023-11-09 1:40am

Generated on Nov 8, 2023

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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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124 Total Images

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Annotation Visualization

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Dataset Split

Train Set 87%

108Images

Valid Set 9%

11Images

Test Set 4%

5Images

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

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sanxing_quelou_object_detection

Annotate

1 / 13

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train

Labels

Attributes

Raw Data

Annotations

Group:

workpiece

Classes

Layers

box

1

empty

9

workpiece

7

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

11081160.jpg

640x640

0.41MP

Updated Aug 21, 56766

4:30AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640
Auto-Adjust Contrast	Contrast Stretching

Annotation History

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Raw Data

Source Data

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    "height": 640,
    "id": "BuNEuENHgu02ObLxUbtf",
    "label": [],
    "labels": [],
    "name": "11081160.jpg",
    "numSteps": 3,
    "owner": "wDSqthV9NlfRzHdLib6AvGp948o2",
    "preprocessing": [
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        "auto-contrast:[\"Contrast Stretching\"]"
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        {
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        {
            "name": "Auto-Adjust Contrast",
            "value": "Contrast Stretching"
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    "source": "BuNEuENHgu02ObLxUbtf",
    "split": "train",
    "split.HFWJf11Ov6X77VfZDIVd.1": "train",
    "split.HFWJf11Ov6X77VfZDIVd.2": "train",
    "split.HFWJf11Ov6X77VfZDIVd.3": "train",
    "split.HFWJf11Ov6X77VfZDIVd.4": "train",
    "split.HFWJf11Ov6X77VfZDIVd.5": "train",
    "split.HFWJf11Ov6X77VfZDIVd.6": "train",
    "split.HFWJf11Ov6X77VfZDIVd.7": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"auto-contrast:[\\\"Contrast Stretching\\\"]\"\n]",
    "updated": 1729214800243,
    "updatedDate": "Aug 21, 56766",
    "updatedTime": "4:30AM",
    "updatedTimezone": "+00:00",
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        "HFWJf11Ov6X77VfZDIVd/6",
        "HFWJf11Ov6X77VfZDIVd/7"
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    "width": 640
}

Annotation Data

{
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            "label": "workpiece",
            "x": 138,
            "y": 213,
            "width": 126.5,
            "height": 135.5
        },
        {
            "label": "workpiece",
            "x": 264,
            "y": 200,
            "width": 116.5,
            "height": 134.5
        },
        {
            "label": "workpiece",
            "x": 140,
            "y": 334,
            "width": 131,
            "height": 110.5
        },
        {
            "label": "workpiece",
            "x": 270,
            "y": 324,
            "width": 118,
            "height": 104
        },
        {
            "label": "workpiece",
            "x": 145,
            "y": 433.5,
            "width": 132,
            "height": 96.5
        },
        {
            "label": "workpiece",
            "x": 273.5,
            "y": 431,
            "width": 115.5,
            "height": 100
        },
        {
            "label": "workpiece",
            "x": 151.5,
            "y": 541,
            "width": 123.5,
            "height": 88
        },
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            "label": "empty",
            "x": 384.5,
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        },
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            "y": 422.5,
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            "y": 531.5,
            "width": 100,
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        {
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        },
        {
            "label": "empty",
            "x": 279.5,
            "y": 542,
            "width": 110,
            "height": 90
        },
        {
            "label": "box",
            "x": 323.5,
            "y": 357.5,
            "width": 495.5,
            "height": 454.5
        }
    ],
    "height": 640,
    "key": "11081160.jpg",
    "width": 640
}

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