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2024-01-12 6:05pm

2024-01-12 5:39pm

2024-01-12 5:15pm

2024-01-11 10-33pm

v6

2024-01-12 5:15pm

Generated on Jan 12, 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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14486 Total Images

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Dataset Split

Train Set 87%

12636Images

Valid Set 9%

1238Images

Test Set 4%

612Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 540x540

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

90° Rotate: Clockwise, Counter-Clockwise

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waste detection

Annotate

12 / 12

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group:

waste

CLASSES

LAYERS

PAPER

3

Unused Classes

BIODEGRADABLE

CARDBOARD

GLASS

METAL

PLASTIC

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

paper1996.jpg

540x540

0.29MP

Updated Sep 17, 56001

4:46PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 540x540
Flip	Vertical
90° Rotate	Applied

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "BIODEGRADABLE": 11847,
        "CARDBOARD": 3350,
        "GLASS": 3572,
        "METAL": 4278,
        "PAPER": 2243,
        "PLASTIC": 4629
    },
    "datasets": [
        "qY11vt6cS3pCT5qKvb7S"
    ],
    "destination": "0b8183382eedb9084c1dc7a828270dae",
    "height": 540,
    "id": "0xg2Hv2B6GPfp8kvmFkX",
    "label": [],
    "labels": [],
    "name": "paper1996.jpg",
    "numSteps": 4,
    "owner": "qHB095xgK3NaZ1654Pdcsv4DKxu1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",540,540]",
        "flip:[\"vertical\"]",
        "ninety:[-90]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 540x540"
        },
        {
            "name": "Flip",
            "value": "Vertical"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        }
    ],
    "source": "0xg2Hv2B6GPfp8kvmFkX",
    "split": "train",
    "split.qY11vt6cS3pCT5qKvb7S.6": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",540,540]\",\n    \"flip:[\\\"vertical\\\"]\",\n    \"ninety:[-90]\"\n]",
    "updated": 1705076153166,
    "updatedDate": "Sep 17, 56001",
    "updatedTime": "4:46PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "qY11vt6cS3pCT5qKvb7S/6"
    ],
    "width": 540
}

{
    "boxes": [
        {
            "label": "PAPER",
            "x": 303.5,
            "y": 227.5,
            "width": 473,
            "height": 451
        },
        {
            "label": "PAPER",
            "x": 238.5,
            "y": 282.5,
            "width": 476,
            "height": 510
        },
        {
            "label": "PAPER",
            "x": 270,
            "y": 270,
            "width": 540,
            "height": 540
        }
    ],
    "height": 540,
    "key": "paper1996_jpg.rf.474f25c94e70107f8fdca7d4d3b09d8c.jpg",
    "width": 540
}

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