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Fruit Detection and Classification

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-05-07 11:09am

Generated on May 6, 2023

Download Dataset

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

Choose another format.

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 600x600

Augmentations

Outputs per training example: 3

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

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Grayscale: Apply to 15% of images

Saturation: Between -25% and +25%

Brightness: Between -25% and +25%

Bounding Box: Flip: Horizontal, Vertical

Bounding Box: Exposure: Between -25% and +25%

Bounding Box: Blur: Up to 4px

Bounding Box: Noise: Up to 10% of pixels

Similar Projects

Annotations

Group:

Fruits

1427.jpg

600x600

0.36MP

Updated Apr 14, 55315

3:43PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Crop

Keep 100%
Centered on 91%, 98%

Resize

Stretch to 600x600

Flip

Applied Per Bounding Box

Exposure

Applied Per Bounding Box

Blur

Applied Per Bounding Box

Noise

Applied Per Bounding Box

90° Rotate

Applied

Saturation

20%

Brightness

-10%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "KYWDLXDmCvnF2zHYXP16"
    ],
    "destination": "cd796d17d09a83b8c761850710396ccf",
    "height": 600,
    "id": "I5SHP1ouuOsZOO9oQlYo",
    "label": [],
    "labels": [],
    "name": "1427.jpg",
    "numSteps": 10,
    "owner": "zp57kpgbSdeCrNDIQZXRWyXuPp32",
    "preprocessing": [
        "auto-orient",
        "crop:[100,0.912478,0.97795]",
        "resize:[\"Stretch to\",600,600]",
        "flip:[[\"vertical\"]]",
        "exposure:[[12]]",
        "blur:[[3.75]]",
        "noise:[[3.5,365981]]",
        "ninety:[0]",
        "saturation:[20]",
        "brightness:[-10]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 100%<br />Centered on 91%, 98%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 600x600"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Exposure",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Blur",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Noise",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Saturation",
            "value": "20%"
        },
        {
            "name": "Brightness",
            "value": "-10%"
        }
    ],
    "source": "I5SHP1ouuOsZOO9oQlYo",
    "split": "train",
    "split.KYWDLXDmCvnF2zHYXP16.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[100,0.912478,0.97795]\",\n    \"resize:[\\\"Stretch to\\\",600,600]\",\n    \"flip:[[\\\"vertical\\\"]]\",\n    \"exposure:[[12]]\",\n    \"blur:[[3.75]]\",\n    \"noise:[[3.5,365981]]\",\n    \"ninety:[0]\",\n    \"saturation:[20]\",\n    \"brightness:[-10]\"\n]",
    "updated": 1683414546202,
    "updatedDate": "Apr 14, 55315",
    "updatedTime": "3:43PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "KYWDLXDmCvnF2zHYXP16/2"
    ],
    "width": 600
}

Annotation Data

{
    "boxes": [
        {
            "label": "pear",
            "x": 339.5,
            "y": 330,
            "width": 269,
            "height": 474
        }
    ],
    "height": 600,
    "key": "1427.jpg",
    "width": 600
}

Fruit Detection and Classification

Dataset Versions

2023-05-07 11:09am

Popular Download Formats

4055 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

1427.jpg

Updated Apr 14, 55315

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data