HDB Indoor Inspection - Generation 2

Object Detection

Dataset Versions

2022-07-05 10:58am

v2

version2-empty

Generated on Mar 26, 2022

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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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5349 Total Images

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Dataset Split

Train Set 70%

3740Images

Valid Set 20%

1074Images

Test Set 10%

535Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

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HDB Indoor Inspection - Generation 2

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Annotations

Group:

Crack

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Crack

Power Plug

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Attributes

frame1601.jpg

640x480

0.31MP

Updated Sep 18, 54202

10:11AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Annotation History

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Raw Data

Source Data

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    "id": "dJgdmD0c7wpFEIoY3rPl",
    "label": [],
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    "name": "frame1601.jpg",
    "numSteps": 1,
    "owner": "wX4ra2jTlpGqXxnSkcnL",
    "preprocessing": [
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    "preprocessingParsed": [
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            "value": "Applied"
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    "status": "generated",
    "transforms": "[\n    \"auto-orient\"\n]",
    "updated": 1648305195113,
    "updatedDate": "Sep 18, 54202",
    "updatedTime": "10:11AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "xxfBXUjbyLuiGrD6CKXe/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [],
    "height": 480,
    "key": "frame1601.jpg",
    "width": 640
}

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