Dataset Versions

2024-09-04 7:54pm

Generated on Sep 4, 2024

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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.

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55 Total Images

View All Images

Dataset Split

Train Set 100%

55Images

Valid Set %

0Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

Components

S1033-02-CUT.jpg

7409x4070

30.15MP

Updated Apr 10, 56648

9:56PM

GMT+00:00

Generated by Roboflow

Training Set

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "Damper": 634,
        "Diffuser": 1295,
        "Exhaust_Diffuser": 69,
        "Exhaust_Grill": 69,
        "Fire_Damper": 8,
        "RCP1": 2,
        "Return_Diffuser": 451,
        "Return_Grill": 451,
        "Round_Diffuser": 25,
        "Slot_Diffuser": 290,
        "Thermostat": 33,
        "VAV": 351
    },
    "datasets": [
        "koSXHptVjGtJcFYEzxC3"
    ],
    "destination": "1427bc36f76a61c9c9ebfb7cf8b8daee",
    "height": 4070,
    "id": "zbD2jci9FpHZm9FllzZE",
    "label": [],
    "labels": [],
    "name": "S1033-02-CUT.jpg",
    "numSteps": 1,
    "owner": "p0JsLlOR5lXhXU4EuZjbcfTdHMc2",
    "preprocessing": [
        "auto-orient"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        }
    ],
    "source": "zbD2jci9FpHZm9FllzZE",
    "split": "train",
    "split.koSXHptVjGtJcFYEzxC3.4": "train",
    "split.koSXHptVjGtJcFYEzxC3.5": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\"\n]",
    "updated": 1725479704592,
    "updatedDate": "Apr 10, 56648",
    "updatedTime": "9:56PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "koSXHptVjGtJcFYEzxC3/4",
        "koSXHptVjGtJcFYEzxC3/5"
    ],
    "width": 7409
}

Annotation Data

{
    "boxes": [],
    "height": 4070,
    "key": "S1033 02 CUT.jpg",
    "width": 7409
}

Component Detection