plastic detector editttt 2

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-05-04 1:48am

v2

2024-05-04 1:48am

Generated on May 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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3323 Total Images

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Dataset Split

Train Set 60%

1996Images

Valid Set 23%

750Images

Test Set 17%

577Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

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plastic detector editttt 2

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8 / 12

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train

Labels

Attributes

Raw Data

Annotations

Group:

Plastic-metal-paper-person-Ssfk

CLASSES

LAYERS

metal

1

Unused Classes

paper

person

plastic

Tags

No Tags Applied

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

Attributes

Metal_262.jpg

640x640

0.41MP

Updated May 3, 2024

9:48PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "plastic": 1703,
        "paper": 1036,
        "person": 1485,
        "metal": 987
    },
    "datasets": [
        "zqyk51FgvTMcPdYezbS7"
    ],
    "destination": "13e33b0314ea1f571f7d8c42d8db4354",
    "height": 640,
    "id": "L7D8KdVgxMoAm5NbEdfD",
    "label": [],
    "labels": [],
    "name": "Metal_262.jpg",
    "numSteps": 2,
    "owner": "dV1rT6Z8VmgvirDUHQvsEqwX46U2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "L7D8KdVgxMoAm5NbEdfD",
    "split": "train",
    "split.zqyk51FgvTMcPdYezbS7.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1714772923,
        "_nanoseconds": 690000000
    },
    "updatedDate": "May 3, 2024",
    "updatedTime": "9:48PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "zqyk51FgvTMcPdYezbS7/2"
    ],
    "width": 640
}

{
    "boxes": [
        {
            "label": "metal",
            "x": 262.5,
            "y": 455,
            "width": 330,
            "height": 326.5
        }
    ],
    "height": 640,
    "key": "Metal_262.jpg",
    "width": 640
}

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