Dataset Versions

Try Pre-Trained Model

2024-01-03 7:10pm

2024-01-01 6:23pm

v2

2024-01-03 7:10pm

Generated on Jan 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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1636 Total Images

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Dataset Split

Train Set 82%

1344Images

Valid Set 12%

200Images

Test Set 6%

92Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Grayscale: Applied

Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2

Flip: Horizontal

Rotation: Between -15° and +15°

Noise: Up to 0.13% of pixels

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Object Classifier

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Labels

Attributes

Raw Data

Annotations

Group: persons

Unused Classes

Pen

person

Attributes

standing_8_11_23-59-.jpg

640x640

0.41MP

Updated Oct 10, 55976

12:13PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Tile	Row: 1 of 2 Column: 1 of 2
Resize	Stretch to 640x640
Grayscale	Applied

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "FtnXOHMTnOh0MklS9pkA"
    ],
    "destination": "f5d7d8d12affdfd93b3db16cfcfae942",
    "height": 640,
    "id": "OHe07Y8KfvUrutca5ssK",
    "label": [],
    "labels": [],
    "name": "standing_8_11_23-59-.jpg",
    "numSteps": 4,
    "owner": "Shwrwai2Lkg8v4D8gVLSoXyrAsj2",
    "preprocessing": [
        "auto-orient",
        "tile:[0,0,2,2]",
        "resize:[\"Stretch to\",640,640]",
        "grayscale"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Tile",
            "value": "Row: 1 of 2<br/>Column: 1 of 2"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        }
    ],
    "source": "OHe07Y8KfvUrutca5ssK",
    "split": "train",
    "split.FtnXOHMTnOh0MklS9pkA.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"tile:[0,0,2,2]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"grayscale\"\n]",
    "updated": 1704289205605,
    "updatedDate": "Oct 10, 55976",
    "updatedTime": "12:13PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "FtnXOHMTnOh0MklS9pkA/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [],
    "height": 640,
    "key": "standing_8_11_23-59-_jpg.rf.be7c35744f5c88f2bc376aedf45ccba5.jpg",
    "width": 640
}

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