Looking for a dataset that would contain location info for every Marriott, Hilton, IHG, etc..

Hi All Looking for datasets/sources which contain data about e-readers(kindle,kobo etc) usage. Eg book, session time, page, bookmarks. Hoping to find granular data. Thanks in advance.

I was looking at the Dark Face dataset available on https://flyywh.github.io/CVPRW2019LowLight/ .
About the dataset according to the description of the dataset:
DARK FACE dataset provides 6,000 real-world low light images captured during the nighttime, at teaching buildings, streets, bridges, overpasses, parks etc., all labeled with bounding boxes for of human face, as the main training and/or validation sets. We also provide 9,000 unlabeled low-light images collected from the same setting. Additionally, we provided a unique set of 789 paired low-light/normal-light images captured in controllable real lighting conditions (but unnecessarily containing faces), which can be used as parts of the training data at the participants’ discretization. There will be a hold-out testing set of 4,000 low-light images, with human face bounding boxes annotated.
When I downloaded the dataset, I was hoping for the folders to be structured something like:
Dark Face Dataset
├── Low-light
│ ├── Training
│ │ ├── Positive
│ │ └── Negative
│ └── Validation
│ ├── Positive
│ └── Negative
├── Paired Low-light and Normal-light
│ ├── Training
│ └── Validation
└── Testing
└── Low-light

Instead, all I got was:
images: containing 6000 images
labels: containing 6000 text files containg information about images. But nowhere is the mention of training,validation, no low-light and normal-light images.

Now I may be missing something very obvious, but I have searched online quite a bit but I can’t figure out how to get the complete dataset. They said it was part of competion ‘UG 2+ challenge’. website: http://cvpr2023.ug2challenge.org/

Can someone please help me with link(s) to where I can access the dataset which is properly structure.

I want acs5 data for 2021 for every category. I’m burnt out, I tried the api it’s not going well. I found a map that is exactly what I could hope for but has license requirements I cannot agree to. I think when it comes time I am going to have to just give in and spend the time finding the right zip file and process the summary file. I downloaded the dataset and the keys once. Tried converting it into an esri table and converting 2000 headers to contain the description maybe I need to export the tables and use pandas instead?

Thoughts? Suggestions? Anyone who’s done this before with suggestions?

For my bachelor’s thesis, I’m researching variable importance assesment. I’d like to apply it to find the most important contributors to a country’s green house gas emissions in terms of governement spending (eg. should we focus on limiting spending on airports or rather investing in public transport etc). A rather big hurdle I found is finding a comprehensive dataset with grants/spending. Is there a dataset that springs to mind or should i compile one myself by looking at each countries annual budget.

Thanks in advance!

This dataset should include the URL (or if not, the HTML data from the recipe site), title, ingredients, and directions.

I’m looking to train an AI to get this information from a link.

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Thanks!

I need to find a list of head heights (chin to crown) and eyeball diameters for different animals.

I want to build an end-to-end machine learning project and incorporate MLOPs practices including data versioning. I couldn’t find datasets other than stock market that are updated. Need help finding those! Need datasets where new data is added frequently

I’m working on a project focused on missing data. Does anyone know of interesting datasets with the following criteria?

Publicly available for download, in a tractable format Data arrives over time (e.g. a new batch every day/week/month; or at least new rows added from time time time.) Some columns have missing values Ideally, missing values show interesting patterns of some kind (e.g. “column X is sometimes missing when column Y == A, but never when column Y == B” or “percentage of missing values in column Z is much higher on weekends.”

I’m willing to wade through a fair amount of EDA to find interesting patterns. Really, anything you can point me to would be helpful.

Hello, all. I am working on a statistical analysis of NASCAR Cup Series drivers in the modern era (1972 to present) and am in need of data. Currently, I can access the information I need through a few different channels, but wanted to see if it was possible to access a database that is already compiled that would decrease the amount of time it is taking.

The most cumbersome fields to gather are dates of birth and number of race starts pre-1972. Additionally, I am using data pieces like driver name, finishing position, condition of car at finish, team, manufacturer, etc., but those are simple enough to get right now.

If there is a dataset with all this information, or multiple datasets that would encompass all this, I would really appreciate being able to access them to use for this project.

Thank you all in advance for any help you can afford!

Choosing the right off-the-shelf AI training data provider can be a daunting task, especially with the large number of options available. Here are some factors to consider when selecting an AI training data provider:

Quality: One of the most critical factors to consider is the quality of the training data. The provider should have high-quality data that accurately reflects the real-world scenarios that the AI system will encounter. Diversity: It is also essential to ensure that the provider offers a diverse range of data sets that cover a wide variety of scenarios. This will ensure that the AI model is trained on a comprehensive dataset that reflects the real world. Customizability: The provider should offer customizable data sets that allow you to select the specific data that best suits your needs. Data Security: The provider should have robust data security measures in place to ensure that your data remains secure and confidential. Scalability: The provider should be able to provide a scalable solution that can grow with your business’s needs. Cost: Finally, consider the cost of the data sets and ensure that it is within your budget. Be wary of providers that offer data sets at an unusually low price, as this may indicate low-quality data.

By considering these factors, you can choose the right off-the-shelf AI training data provider that will provide you with the best possible training data for your AI system.

What issues/challenges you face in current tools for data science/analytics?