Dataset Versions

2023-07-28 1:43am

Generated on Jul 27, 2023

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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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5418 Total Images

View All Images

Dataset Split

Train Set 87%

4734Images

Valid Set 8%

451Images

Test Set 4%

233Images

Preprocessing

Auto-Orient: Applied

Isolate Objects: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Rotation: Between -25° and +25°

Blur: Up to 2.5px

Noise: Up to 5% of pixels

Similar Projects

Annotations

Group:

apple

WIN_20230727_23_05_57_Pro_mp4-145.jpg

693x693

0.48MP

Updated Jan 22, 55539

4:01PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Static Crop

X: 46.449219% to 60.369531%
Y: 84.280208% to 99.998958%

Select annotation #1

Resize

Stretch to 640x640

Flip

Both

Rotation

-5°

Blur

1.5px

Noise

4.75%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "Iq8JrLb63SAti5GkNz6G"
    ],
    "destination": "97d83e4db02e9d42dd3fc7f8f96ea963",
    "height": 693,
    "id": "pDDXGUdZdPBYOP4lIO7X",
    "label": [],
    "labels": [],
    "name": "WIN_20230727_23_05_57_Pro_mp4-145.jpg",
    "numSteps": 8,
    "owner": "xjeEqaYuiLeisVh70XJbavqOrYJ3",
    "preprocessing": [
        "auto-orient",
        "static-crop:[\"46.449219\",\"60.369531\",\"84.280208\",\"99.998958\"]",
        "select-annotation:[0]",
        "resize:[\"Stretch to\",640,640]",
        "flip:[\"both\"]",
        "rotate:[-5]",
        "blur:[1.5]",
        "noise:[4.75,99953]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 46.449219% to 60.369531%<br/>Y: 84.280208% to 99.998958%"
        },
        {
            "value": "Select annotation #1"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "Rotation",
            "value": "-5°"
        },
        {
            "name": "Blur",
            "value": "1.5px"
        },
        {
            "name": "Noise",
            "value": "4.75%"
        }
    ],
    "source": "pDDXGUdZdPBYOP4lIO7X",
    "split": "train",
    "split.Iq8JrLb63SAti5GkNz6G.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[\\\"46.449219\\\",\\\"60.369531\\\",\\\"84.280208\\\",\\\"99.998958\\\"]\",\n    \"select-annotation:[0]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[\\\"both\\\"]\",\n    \"rotate:[-5]\",\n    \"blur:[1.5]\",\n    \"noise:[4.75,99953]\"\n]",
    "updated": 1690476192077,
    "updatedDate": "Jan 22, 55539",
    "updatedTime": "4:01PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "Iq8JrLb63SAti5GkNz6G/3"
    ],
    "width": 693
}

Annotation Data

{
    "boxes": [
        {
            "label": "apple",
            "x": 346.5,
            "y": 346.5,
            "width": 693,
            "height": 693
        }
    ],
    "height": 693,
    "key": "WIN_20230727_23_05_57_Pro_mp4-145.jpg",
    "width": 693
}

apple detection_0630