Dataset Versions

2023-09-21 12:21pm

Generated on Sep 21, 2023

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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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460 Total Images

View All Images

Dataset Split

Train Set 87%

402Images

Valid Set 8%

39Images

Test Set 4%

19Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3

Rotation: Between -15° and +15°

Exposure: Between -15% and +15%

Similar Projects

Annotations

Group: rodents

rodent

Attributes

fourtest-09182023163800-0000_mp4-72.jpg

1536x1024

1.57MP

Updated Dec 20, 55690

7:52PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Rotation

-10°

Exposure

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "okY3MVRZEl8gvHQBvpHl"
    ],
    "destination": "f10742ea766d6625038ee23d267aca0f",
    "height": 1024,
    "id": "IwKXd8dbmDVf4gBfCWVr",
    "label": [],
    "labels": [],
    "name": "fourtest-09182023163800-0000_mp4-72.jpg",
    "numSteps": 3,
    "owner": "2udwjvW74HcuPWbUsdAk3EgbNvp1",
    "preprocessing": [
        "auto-orient",
        "rotate:[-10]",
        "exposure:[0]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "-10°"
        },
        {
            "name": "Exposure",
            "value": "0%"
        }
    ],
    "source": "IwKXd8dbmDVf4gBfCWVr",
    "split": "train",
    "split.okY3MVRZEl8gvHQBvpHl.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"rotate:[-10]\",\n    \"exposure:[0]\"\n]",
    "updated": 1695270109931,
    "updatedDate": "Dec 20, 55690",
    "updatedTime": "7:52PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "okY3MVRZEl8gvHQBvpHl/1"
    ],
    "width": 1536
}

Annotation Data

{
    "boxes": [
        {
            "label": "rodent",
            "x": 1128,
            "y": 497.5,
            "width": 107,
            "height": 109
        },
        {
            "label": "rodent",
            "x": 1129,
            "y": 610.5,
            "width": 68,
            "height": 87
        },
        {
            "label": "rodent",
            "x": 957,
            "y": 474,
            "width": 149,
            "height": 127
        },
        {
            "label": "rodent",
            "x": 819.5,
            "y": 542.5,
            "width": 83,
            "height": 133
        }
    ],
    "height": 1024,
    "key": "fourtest-09182023163800-0000_mp4-72.jpg",
    "width": 1536
}

rodent detection