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cap detection cap defect

Object Detection

Dataset Versions

2024-08-19 1:35pm

7 months ago

2024-08-19 1:22pm

7 months ago

2024-08-19 1:35pm

Generated on Aug 19, 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.

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71 Total Images

View All Images

Dataset Split

Train Set 97%

69Images

Valid Set 3%

2Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

90° Rotate: Clockwise, Counter-Clockwise

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Rotation: Between -15° and +15°

Shear: ±10° Horizontal, ±10° Vertical

Grayscale: Apply to 15% of images

Hue: Between -15° and +15°

Saturation: Between -25% and +25%

Brightness: Between -15% and +15%

Exposure: Between -10% and +10%

Noise: Up to 0.1% of pixels

Similar Projects

Annotations

Group:

defect_good

1724060802_Cap_6.jpg

640x640

0.41MP

Updated Oct 1, 56603

12:23AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Static Crop

X: 25% to 75%
Y: 25% to 75%

Crop

Keep 92%
Centered on 95%, 90%

Resize

Stretch to 640x640

Flip

Vertical

90° Rotate

Applied

Rotation

6°

Shear

X: -1°
Y: -7°

Hue

9°

Saturation

-9%

Brightness

Exposure

Noise

0.07%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "2kQTdZA66bPNUYRjD5lL"
    ],
    "destination": "9a061870674fff64ef713bb46b335412",
    "height": 640,
    "id": "d7Xcw7ieBaKi6b3R0qL7",
    "label": [],
    "labels": [],
    "name": "1724060802_Cap_6.jpg",
    "numSteps": 13,
    "owner": "kZhgl77mC6Ye9O4GO3lebw21oVZ2",
    "preprocessing": [
        "auto-orient",
        "static-crop:[25,75,25,75]",
        "crop:[92,0.949948,0.895052]",
        "resize:[\"Stretch to\",640,640]",
        "flip:[\"vertical\"]",
        "ninety:[0]",
        "rotate:[6]",
        "shear:[-1,-7]",
        "hue:[9]",
        "saturation:[-9]",
        "brightness:[8]",
        "exposure:[0]",
        "noise:[0.07,578692]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 25% to 75%<br/>Y: 25% to 75%"
        },
        {
            "name": "Crop",
            "value": "Keep 92%<br />Centered on 95%, 90%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Vertical"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "6°"
        },
        {
            "name": "Shear",
            "value": "X: -1°<br/>Y: -7°"
        },
        {
            "name": "Hue",
            "value": "9°"
        },
        {
            "name": "Saturation",
            "value": "-9%"
        },
        {
            "name": "Brightness",
            "value": "8%"
        },
        {
            "name": "Exposure",
            "value": "0%"
        },
        {
            "name": "Noise",
            "value": "0.07%"
        }
    ],
    "source": "d7Xcw7ieBaKi6b3R0qL7",
    "split": "train",
    "split.2kQTdZA66bPNUYRjD5lL.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[25,75,25,75]\",\n    \"crop:[92,0.949948,0.895052]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[\\\"vertical\\\"]\",\n    \"ninety:[0]\",\n    \"rotate:[6]\",\n    \"shear:[-1,-7]\",\n    \"hue:[9]\",\n    \"saturation:[-9]\",\n    \"brightness:[8]\",\n    \"exposure:[0]\",\n    \"noise:[0.07,578692]\"\n]",
    "updated": 1724074503782,
    "updatedDate": "Oct 1, 56603",
    "updatedTime": "12:23AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "2kQTdZA66bPNUYRjD5lL/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Defect",
            "x": 319.5869340834222,
            "y": 257.96099917938864,
            "width": 639.1738681668444,
            "height": 284.0780016412227
        }
    ],
    "height": 640,
    "key": "1724060802_Cap_6.jpg",
    "width": 640
}

cap detection cap defect

Dataset Versions

2024-08-19 1:35pm

Popular Download Formats

71 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

1724060802_Cap_6.jpg

Updated Oct 1, 56603

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data