Edit Project

building footprint project

Object Detection

Dataset Versions

2023-02-10 2:26pm

2023-02-03 4:06pm

Generated on Feb 3, 2023

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Popular Download Formats

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.

Other Formats

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800 Total Images

View All Images

Dataset Split

Train Set 64%

513Images

Valid Set 26%

207Images

Test Set 10%

80Images

Preprocessing

Auto-Orient: Applied

Resize: Fit (black edges) in 416x416

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

building

kk_img5-jpg14.jpg

416x416

0.17MP

Updated Oct 8, 55080

8:49AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Fit (black edges) in 416x416

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "1KPGoIWPgPNUILAwnsWt"
    ],
    "destination": "fd894e7ae582b826e93abd29678e1b2e",
    "height": 416,
    "id": "lnDleO9m7ccRoGN5j9hd",
    "label": [],
    "labels": [],
    "name": "kk_img5-jpg14.jpg",
    "numSteps": 2,
    "owner": "nDdN9oHKwZMpqSNXpgcnBlTfR763",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit (black edges) in\",416,416]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit (black edges) in 416x416"
        }
    ],
    "source": "lnDleO9m7ccRoGN5j9hd",
    "split": "train",
    "split.1KPGoIWPgPNUILAwnsWt.1": "train",
    "split.1KPGoIWPgPNUILAwnsWt.2": "train",
    "split.1KPGoIWPgPNUILAwnsWt.3": "train",
    "split.1KPGoIWPgPNUILAwnsWt.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit (black edges) in\\\",416,416]\"\n]",
    "updated": 1676014015797,
    "updatedDate": "Oct 8, 55080",
    "updatedTime": "8:49AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "1KPGoIWPgPNUILAwnsWt/1",
        "1KPGoIWPgPNUILAwnsWt/2",
        "1KPGoIWPgPNUILAwnsWt/3",
        "1KPGoIWPgPNUILAwnsWt/4"
    ],
    "width": 416
}

Annotation Data

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building footprint project

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2023-02-03 4:06pm

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Updated Oct 8, 55080

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