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Empty spaces in a supermarket hanger

Object Detection

Dataset Versions

2024-09-25 7:51pm

6 months ago

2024-09-25 7:51pm

Generated on Sep 25, 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.

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3734 Total Images

View All Images

Dataset Split

Train Set 92%

3442Images

Valid Set 4%

146Images

Test Set 4%

146Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3

Flip: Horizontal

Rotation: Between -15° and +15°

Similar Projects

Annotations

Group:

Supermarket-Products

train_2543.jpg

224x224

0.05MP

Updated Oct 7, 56705

11:03AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 224x224

Flip

Horizontal

Rotation

13°

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "itoQTTjJGWpoRE9ElUhx"
    ],
    "destination": "a419fce57b837d692b036dadb0ed4b9f",
    "height": 224,
    "id": "sUWo100L27eJ7TmExKhp",
    "label": [],
    "labels": [],
    "name": "train_2543.jpg",
    "numSteps": 4,
    "owner": "DJ9oxctdRBQVrpxnGFcNx738yqS2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",224,224]",
        "flip:[\"horizontal\"]",
        "rotate:[13]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 224x224"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "Rotation",
            "value": "13°"
        }
    ],
    "source": "sUWo100L27eJ7TmExKhp",
    "split": "train",
    "split.itoQTTjJGWpoRE9ElUhx.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",224,224]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"rotate:[13]\"\n]",
    "updated": 1727293892588,
    "updatedDate": "Oct 7, 56705",
    "updatedTime": "11:03AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "itoQTTjJGWpoRE9ElUhx/1"
    ],
    "width": 224
}

Annotation Data

{
    "boxes": [
        {
            "label": "product",
            "x": 120.5,
            "y": 157.5,
            "width": 14,
            "height": 15
        },
        {
            "label": "product",
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            "width": 23,
            "height": 19
        },
        {
            "label": "product",
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            "y": 77,
            "width": 22,
            "height": 17
        },
        {
            "label": "product",
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            "y": 91,
            "width": 24,
            "height": 19
        },
        {
            "label": "product",
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            "y": 104.5,
            "width": 23,
            "height": 19
        },
        {
            "label": "product",
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            "y": 109,
            "width": 24,
            "height": 19
        },
        {
            "label": "product",
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            "y": 95.5,
            "width": 23,
            "height": 16
        },
        {
            "label": "product",
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            "y": 82,
            "width": 22,
            "height": 18
        },
        {
            "label": "product",
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            "y": 57.5,
            "width": 19,
            "height": 15
        },
        {
            "label": "product",
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            "y": 69,
            "width": 22,
            "height": 18
        },
        {
            "label": "product",
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            "y": 106,
            "width": 12,
            "height": 26
        },
        {
            "label": "product",
            "x": 222,
            "y": 128,
            "width": 4,
            "height": 22
        },
        {
            "label": "product",
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            "y": 129,
            "width": 29,
            "height": 34
        },
        {
            "label": "product",
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            "width": 17,
            "height": 18
        },
        {
            "label": "product",
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            "y": 144,
            "width": 15,
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        },
        {
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            "y": 195,
            "width": 34,
            "height": 58
        },
        {
            "label": "product",
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            "y": 56.5,
            "width": 22,
            "height": 20
        },
        {
            "label": "product",
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            "y": 72,
            "width": 22,
            "height": 18
        },
        {
            "label": "product",
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            "width": 22,
            "height": 17
        },
        {
            "label": "product",
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        },
        {
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        },
        {
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        },
        {
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        },
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        },
        {
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        },
        {
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        },
        {
            "label": "product",
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        },
        {
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        },
        {
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        },
        {
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        },
        {
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        },
        {
            "label": "product",
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            "width": 22,
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        },
        {
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            "y": 43.5,
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        },
        {
            "label": "product",
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            "height": 16
        },
        {
            "label": "product",
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        },
        {
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        },
        {
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            "width": 23,
            "height": 19
        },
        {
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        },
        {
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        },
        {
            "label": "product",
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            "y": 145.5,
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            "height": 29
        },
        {
            "label": "product",
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            "y": 168,
            "width": 11,
            "height": 15
        },
        {
            "label": "product",
            "x": 67.5,
            "y": 169,
            "width": 12,
            "height": 17
        },
        {
            "label": "product",
            "x": 59,
            "y": 172,
            "width": 12,
            "height": 14
        },
        {
            "label": "product",
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            "y": 218,
            "width": 12,
            "height": 12
        },
        {
            "label": "product",
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            "y": 198,
            "width": 13,
            "height": 22
        },
        {
            "label": "product",
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            "y": 201,
            "width": 13,
            "height": 25
        },
        {
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            "y": 215,
            "width": 11,
            "height": 16
        },
        {
            "label": "product",
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            "y": 217,
            "width": 11,
            "height": 14
        },
        {
            "label": "product",
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            "y": 199,
            "width": 13,
            "height": 16
        },
        {
            "label": "product",
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            "y": 212,
            "width": 10,
            "height": 9
        },
        {
            "label": "product",
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            "width": 13,
            "height": 28
        },
        {
            "label": "product",
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            "y": 199.5,
            "width": 13,
            "height": 27
        },
        {
            "label": "product",
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            "width": 14,
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        },
        {
            "label": "product",
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            "y": 193,
            "width": 14,
            "height": 26
        },
        {
            "label": "product",
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            "y": 195,
            "width": 11,
            "height": 25
        },
        {
            "label": "product",
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            "y": 197,
            "width": 12,
            "height": 24
        },
        {
            "label": "product",
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            "y": 194,
            "width": 10,
            "height": 18
        },
        {
            "label": "product",
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            "y": 166,
            "width": 11,
            "height": 15
        },
        {
            "label": "product",
            "x": 191,
            "y": 76.5,
            "width": 19,
            "height": 17
        },
        {
            "label": "product",
            "x": 56,
            "y": 159,
            "width": 11,
            "height": 14
        },
        {
            "label": "product",
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            "width": 10,
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        },
        {
            "label": "product",
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            "y": 191,
            "width": 5,
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        },
        {
            "label": "product",
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            "y": 131,
            "width": 16,
            "height": 17
        },
        {
            "label": "product",
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            "width": 17,
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        },
        {
            "label": "product",
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            "y": 113,
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            "height": 15
        },
        {
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            "width": 16,
            "height": 17
        },
        {
            "label": "product",
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            "y": 192.5,
            "width": 8,
            "height": 17
        },
        {
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            "width": 12,
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        },
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        },
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        },
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        },
        {
            "label": "product",
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        },
        {
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        {
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        },
        {
            "label": "missing",
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            "y": 40.5,
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            "height": 35
        },
        {
            "label": "missing",
            "x": 170.5,
            "y": 62,
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            "height": 16
        },
        {
            "label": "missing",
            "x": 153.5,
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        },
        {
            "label": "missing",
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        },
        {
            "label": "missing",
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        },
        {
            "label": "missing",
            "x": 128,
            "y": 140,
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        },
        {
            "label": "missing",
            "x": 141,
            "y": 197.5,
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        },
        {
            "label": "missing",
            "x": 84.5,
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            "width": 33,
            "height": 7
        },
        {
            "label": "missing",
            "x": 81,
            "y": 207,
            "width": 19,
            "height": 28
        }
    ],
    "height": 224,
    "key": "train_2543.jpg",
    "width": 224
}

Empty spaces in a supermarket hanger

Dataset Versions

2024-09-25 7:51pm

Popular Download Formats

3734 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

train_2543.jpg

Updated Oct 7, 56705

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data