Dataset Versions

2024-11-03 4:29am

Generated on Nov 3, 2024

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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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253 Total Images

View All Images

Dataset Split

Train Set 86%

217Images

Valid Set 14%

36Images

Test Set %

0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

pieces-twPg-mVYs

CLASSES

LAYERS

peon-negro

Unused Classes

alfil-blanco

alfil-negro

caballo-blanco

caballo-negro

peon-blanco

reina-blanco

reina-negro

rey-blanco

rey-negro

torre-blanco

torre-negro

e79deba8fe520409790b601ad61da4ee.jpg

2284x1529

3.49MP

Updated Oct 16, 56810

6:42AM

GMT+00:00

Generated by Roboflow

Training Set

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "alfil": 26,
        "alfil-blanco": 146,
        "alfil-negro": 121,
        "caballo-blanco": 158,
        "caballo-negro": 173,
        "esquina": 349,
        "peon-blanco": 544,
        "peon-negro": 567,
        "reina-blanco": 96,
        "reina-negro": 71,
        "rey-blanco": 132,
        "rey-negro": 128,
        "torre-blanco": 158,
        "torre-negro": 173
    },
    "datasets": [
        "gPTYPyS73vGRz86Sg1mj"
    ],
    "destination": "83a40a92b43869a90a7cb01b274ef20f",
    "height": 1529,
    "id": "3GehV4ZnPRHCnmiDfqff",
    "label": [],
    "labels": [],
    "name": "e79deba8fe520409790b601ad61da4ee.jpg",
    "numSteps": 0,
    "owner": "j6PTwuWUZIVD2CHBpMb2J40stvA3",
    "preprocessing": [],
    "preprocessingParsed": [],
    "source": "3GehV4ZnPRHCnmiDfqff",
    "split": "train",
    "split.gPTYPyS73vGRz86Sg1mj.4": "train",
    "split.gPTYPyS73vGRz86Sg1mj.5": "train",
    "split.gPTYPyS73vGRz86Sg1mj.6": "train",
    "split.gPTYPyS73vGRz86Sg1mj.7": "train",
    "split.gPTYPyS73vGRz86Sg1mj.8": "train",
    "status": "generated",
    "transforms": "[]",
    "updated": 1730608180973,
    "updatedDate": "Oct 16, 56810",
    "updatedTime": "6:42AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "gPTYPyS73vGRz86Sg1mj/4",
        "gPTYPyS73vGRz86Sg1mj/5",
        "gPTYPyS73vGRz86Sg1mj/6",
        "gPTYPyS73vGRz86Sg1mj/7",
        "gPTYPyS73vGRz86Sg1mj/8"
    ],
    "width": 2284
}

{
    "boxes": [
        {
            "label": "peon-negro",
            "x": 1192,
            "y": 397.5,
            "width": 98,
            "height": 149
        }
    ],
    "height": 1529,
    "key": "e79deba8fe520409790b601ad61da4ee.jpg",
    "width": 2284
}

TPI-IA-GRUPO-28