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Custom Object Detection Using Yolo v7

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-01-24 4:41pm

Generated on Jan 24, 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.

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1029 Total Images

View All Images

Dataset Split

Train Set 92%

943Images

Valid Set 6%

58Images

Test Set 3%

28Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Grayscale: Apply to 25% of images

Similar Projects

Annotations

Group:

Chess-data

36066ba85572ce99198f1a21c2c8bbff.jpg

640x640

0.41MP

Updated Aug 27, 55034

6:42AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Grayscale

Applied

Raw Data

Source Data

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    "height": 640,
    "id": "zuM69WyggPfXainiLFX0",
    "label": [],
    "labels": [],
    "name": "36066ba85572ce99198f1a21c2c8bbff.jpg",
    "numSteps": 3,
    "owner": "dCKwDe1tCmd85qQf3Aph068AU6g2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "grayscale"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        }
    ],
    "source": "zuM69WyggPfXainiLFX0",
    "split": "train",
    "split.kuJI6pQgn5lRsNLG8dGJ.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"grayscale\"\n]",
    "updated": 1674558686520,
    "updatedDate": "Aug 27, 55034",
    "updatedTime": "6:42AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "kuJI6pQgn5lRsNLG8dGJ/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "black-bishop",
            "x": 481.5,
            "y": 94.5,
            "width": 35.5,
            "height": 86
        },
        {
            "label": "black-bishop",
            "x": 334,
            "y": 205.5,
            "width": 34,
            "height": 86
        },
        {
            "label": "black-queen",
            "x": 455.5,
            "y": 264,
            "width": 37,
            "height": 111
        },
        {
            "label": "black-knight",
            "x": 499,
            "y": 188.5,
            "width": 51,
            "height": 124.5
        },
        {
            "label": "black-rook",
            "x": 544.5,
            "y": 511,
            "width": 51,
            "height": 92.5
        },
        {
            "label": "black-rook",
            "x": 473,
            "y": 45.5,
            "width": 37,
            "height": 78.5
        },
        {
            "label": "black-knight",
            "x": 525.5,
            "y": 354,
            "width": 49,
            "height": 91
        },
        {
            "label": "black-pawn",
            "x": 441,
            "y": 217.5,
            "width": 31,
            "height": 69
        },
        {
            "label": "black-knight",
            "x": 389,
            "y": 217.5,
            "width": 41.5,
            "height": 91
        },
        {
            "label": "black-pawn",
            "x": 425.5,
            "y": 51,
            "width": 31,
            "height": 66
        },
        {
            "label": "black-pawn",
            "x": 372.5,
            "y": 107,
            "width": 31,
            "height": 67.5
        },
        {
            "label": "black-pawn",
            "x": 329,
            "y": 163,
            "width": 31,
            "height": 69
        },
        {
            "label": "black-pawn",
            "x": 336,
            "y": 286,
            "width": 35.5,
            "height": 69
        },
        {
            "label": "black-pawn",
            "x": 474.5,
            "y": 510,
            "width": 37,
            "height": 75.5
        },
        {
            "label": "black-pawn",
            "x": 382.5,
            "y": 351.5,
            "width": 34,
            "height": 72.5
        },
        {
            "label": "black-pawn",
            "x": 342.5,
            "y": 431.5,
            "width": 37,
            "height": 74
        },
        {
            "label": "white-knight",
            "x": 221,
            "y": 204.5,
            "width": 40,
            "height": 87.5
        },
        {
            "label": "white-rook",
            "x": 211,
            "y": 503,
            "width": 44.5,
            "height": 91
        },
        {
            "label": "white-rook",
            "x": 122.5,
            "y": 47,
            "width": 34,
            "height": 77
        },
        {
            "label": "white-bishop",
            "x": 113,
            "y": 86,
            "width": 38.5,
            "height": 94
        },
        {
            "label": "white-bishop",
            "x": 76,
            "y": 425.5,
            "width": 44.5,
            "height": 94
        },
        {
            "label": "white-king",
            "x": 94,
            "y": 257.5,
            "width": 51,
            "height": 131
        },
        {
            "label": "white-pawn",
            "x": 266,
            "y": 151.5,
            "width": 31,
            "height": 69
        },
        {
            "label": "white-queen",
            "x": 171,
            "y": 134,
            "width": 47.5,
            "height": 111
        },
        {
            "label": "white-pawn",
            "x": 265.5,
            "y": 45.5,
            "width": 29,
            "height": 66
        },
        {
            "label": "white-pawn",
            "x": 170,
            "y": 95.5,
            "width": 29,
            "height": 64.5
        },
        {
            "label": "white-pawn",
            "x": 160,
            "y": 211.5,
            "width": 34,
            "height": 67.5
        },
        {
            "label": "white-pawn",
            "x": 159,
            "y": 277.5,
            "width": 37,
            "height": 72.5
        },
        {
            "label": "white-pawn",
            "x": 147,
            "y": 429,
            "width": 32.5,
            "height": 67.5
        },
        {
            "label": "white-pawn",
            "x": 270,
            "y": 356,
            "width": 32.5,
            "height": 77
        },
        {
            "label": "white-pawn",
            "x": 279,
            "y": 511.5,
            "width": 38.5,
            "height": 72.5
        }
    ],
    "height": 640,
    "key": "36066ba85572ce99198f1a21c2c8bbff_jpg.rf.b2440aa8c27cef761d6f79eb24689ca9.jpg",
    "width": 640
}

Custom Object Detection Using Yolo v7

Dataset Versions

2023-01-24 4:41pm

Popular Download Formats

1029 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

36066ba85572ce99198f1a21c2c8bbff.jpg

Updated Aug 27, 55034

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data