Dataset Versions

2023-01-03 12:11am

Generated on Jan 2, 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.

9348 Total Images

View All Images

Dataset Split

Train Set 82%

7695Images

Valid Set 12%

1102Images

Test Set 6%

551Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Rotation: Between -35° and +35°

Blur: Up to 2.5px

Similar Projects

Annotations

Group:

waste

1a3809016360b32e.jpg

640x640

0.41MP

Updated Oct 15, 54975

4:03PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

90° Rotate

Applied

Rotation

27°

Blur

1px

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "Bottle": 4114,
        "Coin": 2542,
        "Headphones": 1185,
        "Mobile-phone": 1528,
        "Pen": 1675,
        "Plastic-bag": 986
    },
    "datasets": [
        "9hX7jf1lcmPQsEbSWyqa"
    ],
    "destination": "0d26e0e7c484e6e9f82025e517c65eea",
    "height": 640,
    "id": "syqUtqzrix7I91CO42LP",
    "label": [],
    "labels": [],
    "name": "1a3809016360b32e.jpg",
    "numSteps": 5,
    "owner": "7yJpwu8D5UULRXihEGY73VexUQ32",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "ninety:[0]",
        "rotate:[27]",
        "blur:[1]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "27°"
        },
        {
            "name": "Blur",
            "value": "1px"
        }
    ],
    "source": "syqUtqzrix7I91CO42LP",
    "split": "train",
    "split.9hX7jf1lcmPQsEbSWyqa.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"ninety:[0]\",\n    \"rotate:[27]\",\n    \"blur:[1]\"\n]",
    "updated": 1672701120239,
    "updatedDate": "Oct 15, 54975",
    "updatedTime": "4:03PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "9hX7jf1lcmPQsEbSWyqa/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Bottle",
            "x": 364.5,
            "y": 336,
            "width": 357,
            "height": 522
        },
        {
            "label": "Bottle",
            "x": 469,
            "y": 276,
            "width": 342,
            "height": 552
        }
    ],
    "height": 640,
    "key": "1a3809016360b32e.jpg",
    "width": 640
}

Object Detection II