Name: Batch 3 (500 images) Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

500 images

Explore Dataset

Here are a few use cases for this project:

Personal Photo Management: This model can be used in a photo management application to categorize and sort photos based on object detection. It might detect the woman, coat, hat, porch, and snow to help users filter and find images quickly.
Advertising and E-commerce: Retail businesses can use this model to identify products within stock images. For instance, an online clothing retailer could identify black coat and hat to offer similar products to customers.
Security Surveillance: The model can help in identifying objects or individuals in surveillance footage, especially in snowy scenarios. It could be used to detect suspicious activities, like someone standing at a porch for an extended period of time.
Smart Home Technology: Integrated into a smart home system, the model can notify homeowners of visitors or deliveries. For example, it could recognize a person standing on the porch in certain weather conditions.
Social Media Platforms: The model can be used by platforms to analyze images in posts for content screening or data insights. It could identify trending fashion items like black coat and hat, or popular activities such as standing in the snow.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            batch-3-500-images-sohx4_dataset,
                            title = { Batch 3 (500 images) Dataset },
                            type = { Open Source Dataset },
                            author = { Order 3 },
                            howpublished = { \url{ https://universe.roboflow.com/order-3/batch-3-500-images-sohx4 } },
                            url = { https://universe.roboflow.com/order-3/batch-3-500-images-sohx4 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-29 },
                            }