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Fruit Detection and Classification

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-05-06 11:00pm

Generated on May 6, 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.

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4055 Total Images

View All Images

Dataset Split

Train Set 88%

3549Images

Valid Set 8%

337Images

Test Set 4%

169Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 480x270

Augmentations

Outputs per training example: 3

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Bounding Box: Flip: Horizontal, Vertical

Bounding Box: Blur: Up to 2px

Similar Projects

Annotations

Group:

Fruits

2250.jpg

480x270

0.13MP

Updated Nov 26, 55313

9:06PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Crop

Keep 90%
Centered on 17%, 32%

Resize

Stretch to 480x270

Flip

Applied Per Bounding Box

Blur

Applied Per Bounding Box

90° Rotate

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "KYWDLXDmCvnF2zHYXP16"
    ],
    "destination": "2f31553e411c6a1447d605d61ceabfa0",
    "height": 270,
    "id": "1ISiZAA8AZ6VGOqLncLe",
    "label": [],
    "labels": [],
    "name": "2250.jpg",
    "numSteps": 6,
    "owner": "zp57kpgbSdeCrNDIQZXRWyXuPp32",
    "preprocessing": [
        "auto-orient",
        "crop:[90,0.172029,0.318175]",
        "resize:[\"Stretch to\",480,270]",
        "flip:[[\"horizontal\"],[\"horizontal\"],[],[\"horizontal\"]]",
        "blur:[[0.25],[0.25],[1.5],[0.5]]",
        "ninety:[180]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 90%<br />Centered on 17%, 32%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 480x270"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Blur",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        }
    ],
    "source": "1ISiZAA8AZ6VGOqLncLe",
    "split": "train",
    "split.KYWDLXDmCvnF2zHYXP16.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[90,0.172029,0.318175]\",\n    \"resize:[\\\"Stretch to\\\",480,270]\",\n    \"flip:[[\\\"horizontal\\\"],[\\\"horizontal\\\"],[],[\\\"horizontal\\\"]]\",\n    \"blur:[[0.25],[0.25],[1.5],[0.5]]\",\n    \"ninety:[180]\"\n]",
    "updated": 1683371019979,
    "updatedDate": "Nov 26, 55313",
    "updatedTime": "9:06PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "KYWDLXDmCvnF2zHYXP16/1"
    ],
    "width": 480
}

Annotation Data

{
    "boxes": [
        {
            "label": "apple",
            "x": 386.5,
            "y": 37,
            "width": 103,
            "height": 74
        },
        {
            "label": "banana",
            "x": 211,
            "y": 170,
            "width": 210,
            "height": 124
        },
        {
            "label": "pear",
            "x": 246,
            "y": 107,
            "width": 82,
            "height": 94
        },
        {
            "label": "orange",
            "x": 195,
            "y": 34.5,
            "width": 114,
            "height": 69
        }
    ],
    "height": 270,
    "key": "2250.jpg",
    "width": 480
}

Fruit Detection and Classification

Dataset Versions

2023-05-06 11:00pm

Popular Download Formats

4055 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Tags

Attributes

2250.jpg

Updated Nov 26, 55313

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data