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Apple orange Object detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-10-22 10:33am

Generated on Oct 22, 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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68 Total Images

View All Images

Dataset Split

Train Set 88%

60Images

Valid Set 7%

5Images

Test Set 4%

3Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Crop: 0% Minimum Zoom, 13% Maximum Zoom

Rotation: Between -15° and +15°

Hue: Between -15° and +15°

Saturation: Between -25% and +25%

Brightness: Between -15% and +15%

Exposure: Between -10% and +10%

Bounding Box: Flip: Horizontal, Vertical

Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

Similar Projects

Annotations

Group:

Apple-orange

orange15.jpg

640x640

0.41MP

Updated Aug 18, 56778

4:54AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Crop

Applied Per Bounding Box

Crop

Keep 88%
Centered on 57%, 28%

Resize

Stretch to 640x640

Flip

Applied Per Bounding Box

Flip

Both

Rotation

8°

Hue

7°

Saturation

Brightness

-6%

Exposure

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "9EW0NPUTeC8ct4gQdweT"
    ],
    "destination": "8052d955f71fc7a207de56f261eca25b",
    "height": 640,
    "id": "HRC2nHShT6yrKuZKML55",
    "label": [],
    "labels": [],
    "name": "orange15.jpg",
    "numSteps": 11,
    "owner": "OcrQSR8ousd1BQVHptrG8OVtvxr2",
    "preprocessing": [
        "auto-orient",
        "crop:[[81,0.554122,0.771043],[93,0.326674,0.435952]]",
        "crop:[88,0.574292,0.279914]",
        "resize:[\"Stretch to\",640,640]",
        "flip:[[\"both\"],[]]",
        "flip:[\"both\"]",
        "rotate:[8]",
        "hue:[7]",
        "saturation:[4]",
        "brightness:[-6]",
        "exposure:[9]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Crop",
            "value": "Keep 88%<br />Centered on 57%, 28%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "Rotation",
            "value": "8°"
        },
        {
            "name": "Hue",
            "value": "7°"
        },
        {
            "name": "Saturation",
            "value": "4%"
        },
        {
            "name": "Brightness",
            "value": "-6%"
        },
        {
            "name": "Exposure",
            "value": "9%"
        }
    ],
    "source": "HRC2nHShT6yrKuZKML55",
    "split": "train",
    "split.9EW0NPUTeC8ct4gQdweT.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[[81,0.554122,0.771043],[93,0.326674,0.435952]]\",\n    \"crop:[88,0.574292,0.279914]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[[\\\"both\\\"],[]]\",\n    \"flip:[\\\"both\\\"]\",\n    \"rotate:[8]\",\n    \"hue:[7]\",\n    \"saturation:[4]\",\n    \"brightness:[-6]\",\n    \"exposure:[9]\"\n]",
    "updated": 1729593233677,
    "updatedDate": "Aug 18, 56778",
    "updatedTime": "4:54AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "9EW0NPUTeC8ct4gQdweT/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Orange",
            "x": 303.5,
            "y": 201,
            "width": 383,
            "height": 282
        },
        {
            "label": "Orange",
            "x": 68,
            "y": 241,
            "width": 136,
            "height": 276
        }
    ],
    "height": 640,
    "key": "orange15.jpg",
    "width": 640
}

Apple orange Object detection

Dataset Versions

2024-10-22 10:33am

Popular Download Formats

68 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

orange15.jpg

Updated Aug 18, 56778

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data