Dataset Versions

2024-04-14 8:35pm

Generated on Apr 14, 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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762 Total Images

View All Images

Dataset Split

Train Set 88%

669Images

Valid Set 8%

61Images

Test Set 4%

32Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

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

Rotation: Between -45° and +45°

Brightness: Between -22% and +22%

Exposure: Between -12% and +12%

Similar Projects

Annotations

Group:

metal-plastic-19JA

plastic_079.jpg

640x640

0.41MP

Updated Aug 8, 56256

10:34PM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Auto-Adjust Contrast

Histogram Equalization

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "TBWlwECxlnA9zmHeJ8Oh"
    ],
    "destination": "74787030a054ba3352fa4317503c26f3",
    "height": 640,
    "id": "0zMlGMfiZqalu0AdiDGV",
    "label": [],
    "labels": [],
    "name": "plastic_079.jpg",
    "numSteps": 3,
    "owner": "c19tOsmwE6QgRM8b0brmQGaQGHv2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Histogram Equalization\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Histogram Equalization"
        }
    ],
    "source": "0zMlGMfiZqalu0AdiDGV",
    "split": "valid",
    "split.TBWlwECxlnA9zmHeJ8Oh.2": "valid",
    "split.TBWlwECxlnA9zmHeJ8Oh.5": "valid",
    "split.TBWlwECxlnA9zmHeJ8Oh.6": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"auto-contrast:[\\\"Histogram Equalization\\\"]\"\n]",
    "updated": 1713119754854,
    "updatedDate": "Aug 8, 56256",
    "updatedTime": "10:34PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "TBWlwECxlnA9zmHeJ8Oh/2",
        "TBWlwECxlnA9zmHeJ8Oh/5",
        "TBWlwECxlnA9zmHeJ8Oh/6"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "plastic",
            "x": 220,
            "y": 391.5,
            "width": 192.5,
            "height": 496.5
        }
    ],
    "height": 640,
    "key": "plastic_079.jpg",
    "width": 640
}

object-detection-2