Dataset Versions

Try Pre-Trained Model

2024-05-29 8:59pm

2024-05-28 4:23pm

2024-05-23 10:47am

2024-05-23 10:40am

v4

2024-05-29 8:59pm

Generated on May 29, 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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11204 Total Images

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Dataset Split

Train Set 88%

9804Images

Valid Set 8%

934Images

Test Set 4%

466Images

Preprocessing

Auto-Orient: Applied

Resize: Fit within 640x480

Augmentations

Outputs per training example: 3

Flip: Horizontal

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Saturation: Between -25% and +25%

Exposure: Between -25% and +25%

Blur: Up to 1.5px

Noise: Up to 0.81% of pixels

Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

Bounding Box: Noise: Up to 0.1% of pixels

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10 / 12

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test

Labels

Attributes

Raw Data

Annotations

Group:

person-bicycle-car

CLASSES

LAYERS

person

1

Unused Classes

stair

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

20240520_160520_mp4-1935.jpg

640x360

0.23MP

Updated May 29, 2024

11:59AM

GMT+00:00

Generated by Roboflow

Testing Set

Transforms

Auto-Orient	Applied
Resize	Fit within 640x480

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "stair": 4309,
        "person": 5482
    },
    "datasets": [
        "1AuRjxybrzeYK3gT43XR"
    ],
    "destination": "4c8f54e1124b3634508a9066f62b54e6",
    "height": 360,
    "id": "Q2DOYMgjgQU5djtFNcWx",
    "label": [],
    "labels": [],
    "name": "20240520_160520_mp4-1935.jpg",
    "numSteps": 2,
    "owner": "CeSMBiDfCxQZQ91LWiY2bFmiC9k1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit within\",640,480]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit within 640x480"
        }
    ],
    "source": "Q2DOYMgjgQU5djtFNcWx",
    "split": "test",
    "split.1AuRjxybrzeYK3gT43XR.2": "test",
    "split.1AuRjxybrzeYK3gT43XR.3": "test",
    "split.1AuRjxybrzeYK3gT43XR.4": "test",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit within\\\",640,480]\"\n]",
    "updated": {
        "_seconds": 1716983961,
        "_nanoseconds": 843000000
    },
    "updatedDate": "May 29, 2024",
    "updatedTime": "11:59AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "1AuRjxybrzeYK3gT43XR/2",
        "1AuRjxybrzeYK3gT43XR/3",
        "1AuRjxybrzeYK3gT43XR/4"
    ],
    "width": 640
}

{
    "boxes": [
        {
            "label": "person",
            "x": 12,
            "y": 164,
            "width": 23,
            "height": 98
        }
    ],
    "height": 360,
    "key": "20240520_160520_mp4-1935.jpg",
    "width": 640
}

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