Dataset Versions

Try Pre-Trained Model

2024-03-23 9:04am

a year ago

2024-03-23 9:04am

Generated on Mar 23, 2024

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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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82 Total Images

View All Images

Dataset Split

Train Set 88%

72Images

Valid Set 9%

7Images

Test Set 4%

3Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Similar Projects

Attributes

OIP.jpg

640x640

0.41MP

Updated Mar 4, 56195

12:40PM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "phone-fILG": 34
    },
    "datasets": [
        "iMgwiwoDGbYyKBU5Mk4i"
    ],
    "destination": "0681d798900264dcbef2b0ec9004272c",
    "height": 640,
    "id": "ux9g3qcM0q6zLw7e7u4N",
    "label": [],
    "labels": [],
    "name": "OIP.jpg",
    "numSteps": 2,
    "owner": "VXUfMiQ2RDZPUDBaghEXVTUBvMD2",
    "predictions": [],
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "ux9g3qcM0q6zLw7e7u4N",
    "split": "valid",
    "split.iMgwiwoDGbYyKBU5Mk4i.1": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1711181162440,
    "updatedDate": "Mar 4, 56195",
    "updatedTime": "12:40PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "iMgwiwoDGbYyKBU5Mk4i/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "phone-fILG",
            "x": 409.5,
            "y": 307.5,
            "width": 57.5,
            "height": 169.5
        }
    ],
    "height": 640,
    "key": "OIP.jpg",
    "width": 640
}

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Dataset Versions

2024-03-23 9:04am

Popular Download Formats

82 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Ground Truth Boxes

Attributes

OIP.jpg

Updated Mar 4, 56195

Generated by Roboflow

Validation Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data