Edit Project

yolov4-tiny-cones-fscoco

Object Detection

Dataset Versions

2023-07-20 4:51pm

2 years ago

2023-07-20 4:51pm

Generated on Jul 20, 2023

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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.

Other Formats

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8987 Total Images

View All Images

Dataset Split

Train Set 90%

8088Images

Valid Set 6%

540Images

Test Set 4%

359Images

Preprocessing

Auto-Orient: Applied

Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 3

Flip: Horizontal

Brightness: Between -20% and +20%

Blur: Up to 3.5px

Noise: Up to 4% of pixels

Similar Projects

Annotations

Group:

cones

mms_00656.png

920x760

0.70MP

Updated Sep 6, 55519

10:39PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Modify Classes

Applied

Flip

Horizontal

Brightness

-18%

Blur

0.25px

Noise

2.25%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
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    ],
    "destination": "04185b3a3f997cecb07339ac816e9ea5",
    "height": 760,
    "id": "TP8ew2rzcPker1kBlYgB",
    "label": [],
    "labels": [],
    "name": "mms_00656.png",
    "numSteps": 6,
    "owner": "HHi5L0Fzgjf51M7xWCZ8lBYpebs2",
    "preprocessing": [
        "auto-orient",
        "remap:[\"fd0fadedb0212ee0a71b6845086a4b4b\"]",
        "flip:[\"horizontal\"]",
        "brightness:[-18]",
        "blur:[0.25]",
        "noise:[2.25,59410]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "Brightness",
            "value": "-18%"
        },
        {
            "name": "Blur",
            "value": "0.25px"
        },
        {
            "name": "Noise",
            "value": "2.25%"
        }
    ],
    "source": "TP8ew2rzcPker1kBlYgB",
    "split": "train",
    "split.iHAErq2nrArRQOXqGFxj.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"remap:[\\\"fd0fadedb0212ee0a71b6845086a4b4b\\\"]\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"brightness:[-18]\",\n    \"blur:[0.25]\",\n    \"noise:[2.25,59410]\"\n]",
    "updated": 1689864676785,
    "updatedDate": "Sep 6, 55519",
    "updatedTime": "10:39PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "iHAErq2nrArRQOXqGFxj/1"
    ],
    "width": 920
}

Annotation Data

{
    "boxes": [
        {
            "label": "blue_cone",
            "x": 739,
            "y": 404,
            "width": 82,
            "height": 126
        },
        {
            "label": "blue_cone",
            "x": 649.5,
            "y": 382.5,
            "width": 21,
            "height": 33
        },
        {
            "label": "blue_cone",
            "x": 498.5,
            "y": 384,
            "width": 31,
            "height": 44
        },
        {
            "label": "blue_cone",
            "x": 567.5,
            "y": 381.5,
            "width": 23,
            "height": 33
        },
        {
            "label": "large_orange_cone",
            "x": 590.5,
            "y": 380.5,
            "width": 15,
            "height": 31
        },
        {
            "label": "yellow_cone",
            "x": 697.5,
            "y": 385.5,
            "width": 13,
            "height": 23
        },
        {
            "label": "large_orange_cone",
            "x": 768.5,
            "y": 372.5,
            "width": 17,
            "height": 49
        },
        {
            "label": "yellow_cone",
            "x": 463,
            "y": 384.5,
            "width": 16,
            "height": 23
        },
        {
            "label": "yellow_cone",
            "x": 308,
            "y": 382.5,
            "width": 16,
            "height": 27
        }
    ],
    "height": 760,
    "key": "mms_00656.jpg",
    "width": 920
}

yolov4-tiny-cones-fscoco

Dataset Versions

2023-07-20 4:51pm

Popular Download Formats

8987 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

mms_00656.png

Updated Sep 6, 55519

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data