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ObjectDetection_PaperPlatic_cupBottle

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-09-03 8:12am

Generated on Sep 3, 2024

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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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981 Total Images

View All Images

Dataset Split

Train Set 87%

849Images

Valid Set 8%

81Images

Test Set 5%

51Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

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

Crop: 0% Minimum Zoom, 30% Maximum Zoom

Rotation: Between -15° and +15°

Shear: ±13° Horizontal, ±13° Vertical

Brightness: Between -18% and +18%

Blur: Up to 2.5px

Noise: Up to 0.18% of pixels

Similar Projects

Annotations

Group:

paper-plastic-nIZw

PXL_20240902_182520082-MP.jpg

640x640

0.41MP

Updated Mar 15, 56644

11:41AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Crop

Keep 75%
Centered on 6%, 17%

Resize

Stretch to 640x640

90° Rotate

Applied

Rotation

-6°

Shear

X: -3°
Y: -8°

Brightness

-15%

Blur

2px

Noise

0.15%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "JHufMypEOxFPREa0on4w"
    ],
    "destination": "0e15e8142b93305c6601f33a627d681c",
    "height": 640,
    "id": "YQApRnVDh12LLYUkbNv8",
    "label": [],
    "labels": [],
    "name": "PXL_20240902_182520082-MP.jpg",
    "numSteps": 9,
    "owner": "u46gfdctfHTeRz4Vbu6wokBBZF82",
    "preprocessing": [
        "auto-orient",
        "crop:[75,0.056247,0.171119]",
        "resize:[\"Stretch to\",640,640]",
        "ninety:[0]",
        "rotate:[-6]",
        "shear:[-3,-8]",
        "brightness:[-15]",
        "blur:[2]",
        "noise:[0.15,579687]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 75%<br />Centered on 6%, 17%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "-6°"
        },
        {
            "name": "Shear",
            "value": "X: -3°<br/>Y: -8°"
        },
        {
            "name": "Brightness",
            "value": "-15%"
        },
        {
            "name": "Blur",
            "value": "2px"
        },
        {
            "name": "Noise",
            "value": "0.15%"
        }
    ],
    "source": "YQApRnVDh12LLYUkbNv8",
    "split": "train",
    "split.JHufMypEOxFPREa0on4w.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[75,0.056247,0.171119]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"ninety:[0]\",\n    \"rotate:[-6]\",\n    \"shear:[-3,-8]\",\n    \"brightness:[-15]\",\n    \"blur:[2]\",\n    \"noise:[0.15,579687]\"\n]",
    "updated": 1725351190881,
    "updatedDate": "Mar 15, 56644",
    "updatedTime": "11:41AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "JHufMypEOxFPREa0on4w/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Plastic",
            "x": 219.0303677945496,
            "y": 331.52045657675654,
            "width": 210.82999168602464,
            "height": 343.54802845228846
        },
        {
            "label": "Paper",
            "x": 437.08046182168084,
            "y": 490.2272161477041,
            "width": 262.8924794789925,
            "height": 235.06311887386687
        },
        {
            "label": "Paper",
            "x": 408.663811431057,
            "y": 343.6710643526843,
            "width": 175.09460779138612,
            "height": 128.0576044987606
        },
        {
            "label": "Plastic",
            "x": 552.5554148081152,
            "y": 400.4175808132607,
            "width": 161.35137246621775,
            "height": 199.35896827054432
        }
    ],
    "height": 640,
    "key": "PXL_20240902_182520082-MP.jpg",
    "width": 640
}

ObjectDetection_PaperPlatic_cupBottle

Dataset Versions

2024-09-03 8:12am

Popular Download Formats

981 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Tags

Attributes

PXL_20240902_182520082-MP.jpg

Updated Mar 15, 56644

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data