Soda Can Dataset

Welcome to the Soda Can Dataset, a meticulously curated collection of 200 images featuring a wide variety of soda cans. This dataset is designed for the training of AI (LoRA) models focused on object recognition, branding analysis, and material reflection properties.

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  Dataset Overview

Content: This dataset comprises 200 high-quality images… See the full description on the dataset page: https://huggingface.co/datasets/Blib-la/soda-cans.

Coke Cans

## Overview

Coke Cans is a dataset for object detection tasks - it contains Coke Cans annotations for 750 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Soda Can Detection

## Overview

Soda Can Detection is a dataset for object detection tasks - it contains Soda Can annotations for 274 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Detect_coke

## Overview

Detect_coke is a dataset for object detection tasks - it contains Objects annotations for 215 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Overview

The dataset contains synthetically generated images of bottles scattered around random backgrounds. The download files contain 5000 Images for each classes of bottles available. Currently there are five classes available: Plastic Bottles , Beer Bottles, Soda Bottles, Water Bottles, and Wine Bottles. I will try to add more bottle types in the future.

Update

Previously, the dataset only contains images of plastic bottles and beer bottles. Now I've included images of soda, water, and wine bottles also. I will be adding more images in the future. You could always check the previous versions of the dataset if you want to retrieve the previous directory. Cheers! :D

SODA-A comprises 2513 high-resolution images of aerial scenes, which has 872069 instances annotated with oriented rectangle box annotations over 9 classes. More info - https://shaunyuan22.github.io/SODA/

Dataset Card for soda-bottles

** The original COCO dataset is stored at dataset.tar.gz**

  Dataset Summary

soda-bottles

  Supported Tasks and Leaderboards

object-detection: The dataset can be used to train a model for Object Detection.

  Languages

English

  Dataset Structure





  Data Instances

A data point comprises an image and its object annotations. { 'image_id': 15, 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/soda-bottles.

Coke_can_detect

## Overview

Coke_can_detect is a dataset for object detection tasks - it contains Cocacola annotations for 491 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Context

Deep learning has been proved to be an advanced technology for big data analysis with a large number of successful cases in image processing, speech recognition, object detection, and so on. It has also been introduced in food science and engineering. There are some research papers already published for the applications like food recognition, identification of healthier food, etc.

Objective

You are required to build a machine learning or deep learning model that would recognize if a given food is a pizza or a burger or a soft-drink.

Uav target detection is a key technology in low altitude security, disaster relief and other fields. However, in practical application scenarios, there are many complex and highly uncertain factors, such as extreme weather changes, large scale and span of the target, complex background interference, motion ambiguity, etc., which makes accurate and real-time UAV target detection still a great challenge. In order to reduce the interference of these situations in real detection scenes and improve the accuracy of UAV detection, a Global Edge Information Enhance (GEIE)module is proposed in this paper, which enables edge information to be fused into features extracted at various scales. It can improve the attention of the network to the edge information of the object. In addition, special weather conditions can greatly reduce the detection accuracy of the target, this paper proposes a Multiscale Edge Feature Enhance(MEFE) module to extract features from different scales and highlight edge information, which can improve the model’s perception of multi-scale features. Finally, we propose a Lightweight layered Shared Convolutional BN(LLSCB) Detection Head based on LSCD, so that the detection heads share the convolutional layer, and the BN is calculated independently, which improves the detection accuracy and reduces the number of parameters. A high performance YOLO detector (YOLO-GML) based on YOLO11 model is proposed. Experimental results show that Compared with YOLO11s, YOLO-GML can improve AP50 by 2.3% to 73.6% on the challenging UAV detection dataset HazyDet, achieving a better balance between accuracy and inference efficiency compared to the most advanced detection algorithms. YOLO-GML also showed good performance improvement in the SODA-A and VisDrone-2019 datasets, demonstrating the generalization of the model.

Coke_Can_Detection_3

## Overview

Coke_Can_Detection_3 is a dataset for object detection tasks - it contains Coke Can annotations for 415 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Coke Bottle Defects Detection

## Overview

Coke Bottle Defects Detection is a dataset for instance segmentation tasks - it contains Cap Defect annotations for 293 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Coke_Can_Detection_2

## Overview

Coke_Can_Detection_2 is a dataset for object detection tasks - it contains Coke Can annotations for 204 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Coke Cola

## Overview

Coke Cola is a dataset for object detection tasks - it contains Coke annotations for 1,594 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

I Luv Coke

## Overview

I Luv Coke is a dataset for object detection tasks - it contains Objects annotations for 902 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Snack + Coke

## Overview

Snack + Coke is a dataset for object detection tasks - it contains Snack annotations for 794 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Soda Container Detection

## Overview

Soda Container Detection is a dataset for object detection tasks - it contains Can Bottle Neither annotations for 4,736 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Drinks Object Detection

## Overview

Drinks Object Detection is a dataset for instance segmentation tasks - it contains Ice Tea Coke Bottle Coconut Water annotations for 443 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Coke Plastic Cap

## Overview

Coke Plastic Cap is a dataset for object detection tasks - it contains Objects annotations for 254 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Coke And Pepsi

## Overview

Coke And Pepsi is a dataset for object detection tasks - it contains Coke Or Pepsi annotations for 400 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).