Dataset Versions

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2024-07-21 4:50pm

2024-07-03 6:46pm

2024-07-03 3:37pm

2024-06-30 3:22pm

2024-06-29 5:10pm

2024-05-30 2:10am

2024-05-29 10:31pm

2024-05-21 9:26am

2024-04-28 11:56pm

v9

2024-07-21 4:50pm

Generated on Jul 21, 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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3636 Total Images

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Dataset Split

Train Set 87%

3173Images

Valid Set 8%

308Images

Test Set 4%

155Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

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

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Waste Detection

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paper498.jpg

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valid

Labels

Attributes

Raw Data

Annotations

Group:

Organik

CLASSES

LAYERS

Anorganik

1

Unused Classes

Organik

Tags

No Tags Applied

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Attributes

paper498.jpg

640x640

0.41MP

Updated Jul 21, 2024

4:50PM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "Anorganik": 1048,
        "Organik": 1075
    },
    "datasets": [
        "LdfOOxXsOh8zpeUD7c6f"
    ],
    "destination": "a95e1639cc67eb95bfe6cb730f200aa0",
    "height": 640,
    "id": "I5pjaoDWn4J6mxCyhGCU",
    "label": [],
    "labels": [],
    "name": "paper498.jpg",
    "numSteps": 2,
    "owner": "klGSjMk028Q7LZVbkNua9VHKExP2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "I5pjaoDWn4J6mxCyhGCU",
    "split": "valid",
    "split.LdfOOxXsOh8zpeUD7c6f.5": "train",
    "split.LdfOOxXsOh8zpeUD7c6f.6": "valid",
    "split.LdfOOxXsOh8zpeUD7c6f.7": "valid",
    "split.LdfOOxXsOh8zpeUD7c6f.8": "valid",
    "split.LdfOOxXsOh8zpeUD7c6f.9": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1721580607,
        "_nanoseconds": 9000000
    },
    "updatedDate": "Jul 21, 2024",
    "updatedTime": "4:50PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "LdfOOxXsOh8zpeUD7c6f/5",
        "LdfOOxXsOh8zpeUD7c6f/6",
        "LdfOOxXsOh8zpeUD7c6f/7",
        "LdfOOxXsOh8zpeUD7c6f/8",
        "LdfOOxXsOh8zpeUD7c6f/9"
    ],
    "width": 640
}

{
    "boxes": [
        {
            "label": "Anorganik",
            "x": 285,
            "y": 318,
            "width": 348.5,
            "height": 366.5
        }
    ],
    "height": 640,
    "key": "paper498.jpg",
    "width": 640
}

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