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Tomato Ripeness Detector

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-10-17 8:11pm

Generated on Oct 17, 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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358 Total Images

View All Images

Dataset Split

Train Set 88%

315Images

Valid Set 9%

33Images

Test Set 3%

10Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal

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

Shear: ±10° Horizontal, ±10° Vertical

Brightness: Between -20% and +20%

Blur: Up to 2.5px

Similar Projects

Annotations

Group:

ripe-semi-ripe-unripe

stereo20190405_133623_p2_snap_088.jpg

640x640

0.41MP

Updated Jan 14, 56766

1:34PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

90° Rotate

Applied

Shear

X: -6°
Y: 3°

Brightness

-16%

Blur

0.75px

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "raw7u7WTIoEbRlszj2Um"
    ],
    "destination": "ede7b64b53dc56582a63ec7b6d4fcf69",
    "height": 640,
    "id": "FRHAbx0MTACIfkG3rHGD",
    "label": [],
    "labels": [],
    "name": "stereo20190405_133623_p2_snap_088.jpg",
    "numSteps": 6,
    "owner": "kJbypI7it1P0Vi7NUbG3aVjL8T82",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "ninety:[-90]",
        "shear:[-6,3]",
        "brightness:[-16]",
        "blur:[0.75]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Shear",
            "value": "X: -6°<br/>Y: 3°"
        },
        {
            "name": "Brightness",
            "value": "-16%"
        },
        {
            "name": "Blur",
            "value": "0.75px"
        }
    ],
    "source": "FRHAbx0MTACIfkG3rHGD",
    "split": "train",
    "split.raw7u7WTIoEbRlszj2Um.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"ninety:[-90]\",\n    \"shear:[-6,3]\",\n    \"brightness:[-16]\",\n    \"blur:[0.75]\"\n]",
    "updated": 1729195911295,
    "updatedDate": "Jan 14, 56766",
    "updatedTime": "1:34PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "raw7u7WTIoEbRlszj2Um/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "semi-ripe",
            "x": 182.01104564226472,
            "y": 489.9735579207153,
            "width": 47.8857215525544,
            "height": 54.802932986698124
        },
        {
            "label": "semi-ripe",
            "x": 403.9491483490567,
            "y": 438.31367220492314,
            "width": 30.047623084752445,
            "height": 30.506196882918402
        },
        {
            "label": "semi-ripe",
            "x": 397.9300948761657,
            "y": 481.7351244127462,
            "width": 35.94286077627714,
            "height": 27.61092727248763
        },
        {
            "label": "ripe",
            "x": 320.64913563208654,
            "y": 531.4172670106658,
            "width": 22.628573850851353,
            "height": 18.384011428420763
        },
        {
            "label": "semi-ripe",
            "x": 136.63484022868073,
            "y": 600.2491727261943,
            "width": 18.73333615932671,
            "height": 21.31419116870802
        },
        {
            "label": "semi-ripe",
            "x": 321.4571137897825,
            "y": 221.7427163613836,
            "width": 31.01270231526064,
            "height": 29.523651947846474
        },
        {
            "label": "unripe",
            "x": 452.7348868575713,
            "y": 259.05551246437244,
            "width": 44.32698924068643,
            "height": 38.75056779191334
        },
        {
            "label": "unripe",
            "x": 483.6555291796175,
            "y": 204.56170934729073,
            "width": 24.384128464409287,
            "height": 11.418921558277248
        }
    ],
    "height": 640,
    "key": "stereo20190405_133623_p2_snap_088.jpg",
    "width": 640
}

Tomato Ripeness Detector

Dataset Versions

2024-10-17 8:11pm

Popular Download Formats

358 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Tags

Attributes

stereo20190405_133623_p2_snap_088.jpg

Updated Jan 14, 56766

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data