Dataset Versions

2022-11-13 10:18pm

Generated on Nov 13, 2022

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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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263 Total Images

View All Images

Dataset Split

Train Set 87%

228Images

Valid Set 8%

21Images

Test Set 5%

14Images

Preprocessing

Auto-Orient: Applied

Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3

90° Rotate: Clockwise

Grayscale: Apply to 33% of images

Similar Projects

Annotations

Group:

pencil-erasor-sharpner-scale

istockphoto-1415629579-170667a.jpg

640x640

0.41MP

Updated Mar 22, 54838

2:30AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Fit (black edges) in 640x640

90° Rotate

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "r0QDfm2Fv8QU0s0bc6gk"
    ],
    "destination": "d4c79b674f05e21d53a42c9256dd870c",
    "height": 640,
    "id": "7CJtvn1Fd0hhgqxWGlNW",
    "label": [],
    "labels": [],
    "name": "istockphoto-1415629579-170667a.jpg",
    "numSteps": 3,
    "owner": "pSHfuSr5pBVNbqFBX163uwv8co02",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit (black edges) in\",640,640]",
        "ninety:[0]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit (black edges) in 640x640"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        }
    ],
    "source": "7CJtvn1Fd0hhgqxWGlNW",
    "split": "train",
    "split.r0QDfm2Fv8QU0s0bc6gk.4": "train",
    "split.r0QDfm2Fv8QU0s0bc6gk.5": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit (black edges) in\\\",640,640]\",\n    \"ninety:[0]\"\n]",
    "updated": 1668359903444,
    "updatedDate": "Mar 22, 54838",
    "updatedTime": "2:30AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "r0QDfm2Fv8QU0s0bc6gk/4",
        "r0QDfm2Fv8QU0s0bc6gk/5"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "pencil",
            "x": 325,
            "y": 355,
            "width": 619,
            "height": 77,
            "color": "#00FFCE"
        }
    ],
    "height": 640,
    "key": "istockphoto-1415629579-170667a.jpg",
    "width": 640
}

data-annot