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YoloV7 - Trash Dataset V7 - 05/06/2023

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-05-09 4:21pm

Generated on May 9, 2023

Download Dataset

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

Choose another format.

3322 Total Images

View All Images

Dataset Split

Train Set 80%

2662Images

Valid Set 10%

329Images

Test Set 10%

331Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

Similar Projects

Attributes

gwen-271-_png.jpg

640x640

0.41MP

Updated Oct 23, 55321

12:33AM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Raw Data

Source Data

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    "datasets": [
        "wgUTQK8ceeNj0wSa9WzD"
    ],
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    "height": 640,
    "id": "cFMeMQrohx1DVpl4eQvb",
    "label": [],
    "labels": [],
    "name": "gwen-271-_png.jpg",
    "numSteps": 2,
    "owner": "Kt9bqbsDwEeZ2ipvDcbt",
    "predictions": [
        {
            "color": "#8622FF",
            "label": "PlasticCups",
            "x": 304.49984,
            "y": 517.00032,
            "width": 13,
            "height": 18
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 304.99968,
            "y": 517.00032,
            "width": 14,
            "height": 18
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 248,
            "y": 512.99968,
            "width": 10,
            "height": 8
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 264.99968,
            "y": 449.00032,
            "width": 14,
            "height": 14.000000000000057
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 113.50016,
            "y": 457.00032,
            "width": 13.000000000000014,
            "height": 10
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 140,
            "y": 571.50016,
            "width": 4,
            "height": 17
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 138.99968,
            "y": 489.00032,
            "width": 11.999999999999972,
            "height": 15.999999999999943
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 166.49984,
            "y": 447.00032,
            "width": 7.000000000000028,
            "height": 20
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 153.50016,
            "y": 542.49984,
            "width": 5,
            "height": 13
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 206,
            "y": 579.50016,
            "width": 10,
            "height": 9.000000000000114
        },
        {
            "color": "#8622FF",
            "label": "TetraPak",
            "x": 208,
            "y": 500.99968,
            "width": 6,
            "height": 14.000000000000057
        }
    ],
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "cFMeMQrohx1DVpl4eQvb",
    "split": "valid",
    "split.wgUTQK8ceeNj0wSa9WzD.1": "valid",
    "split.wgUTQK8ceeNj0wSa9WzD.2": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1683620469238,
    "updatedDate": "Oct 23, 55321",
    "updatedTime": "12:33AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "wgUTQK8ceeNj0wSa9WzD/1",
        "wgUTQK8ceeNj0wSa9WzD/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "TetraPak",
            "x": 113,
            "y": 456.5,
            "width": 14,
            "height": 9.5
        },
        {
            "label": "TetraPak",
            "x": 166.5,
            "y": 447,
            "width": 7.5,
            "height": 22
        },
        {
            "label": "TetraPak",
            "x": 264.5,
            "y": 449.5,
            "width": 12.5,
            "height": 14.5
        },
        {
            "label": "TetraPak",
            "x": 305,
            "y": 517,
            "width": 14,
            "height": 20
        },
        {
            "label": "TetraPak",
            "x": 247.5,
            "y": 513,
            "width": 10.5,
            "height": 9.5
        },
        {
            "label": "TetraPak",
            "x": 208,
            "y": 500.5,
            "width": 6,
            "height": 13
        },
        {
            "label": "TetraPak",
            "x": 153.5,
            "y": 542.5,
            "width": 4,
            "height": 13.5
        },
        {
            "label": "TetraPak",
            "x": 139,
            "y": 572.5,
            "width": 3.5,
            "height": 13.5
        },
        {
            "label": "TetraPak",
            "x": 206,
            "y": 580.5,
            "width": 10,
            "height": 9.5
        },
        {
            "label": "TetraPak",
            "x": 139,
            "y": 489,
            "width": 13.5,
            "height": 17
        }
    ],
    "height": 640,
    "key": "gwen-271-_png.rf.c8d9f4f22d9cac5be3d2e81f45c59726.jpg",
    "width": 640
}

YoloV7 - Trash Dataset V7 - 05/06/2023

Dataset Versions

2023-05-09 4:21pm

Popular Download Formats

3322 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Ground Truth Boxes

Predicted Boxes

Attributes

gwen-271-_png.jpg

Updated Oct 23, 55321

Generated by Roboflow

Validation Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data