Riveter: Quickly annotate, enhance and analyze data using cue words in tables

General Introduction

Riveter is an AI-based prompting and labeling tool designed for data tables. With Riveter, users can annotate and enhance thousands of rows of data in minutes using ChatGPT-like prompts, dramatically improving the efficiency of data processing.Riveter not only quickly annotates data, but also provides in-depth market research and analysis to help companies gain a competitive advantage in strategic decision-making. Whether you are working with 10-K reports, investor day presentations, or other official data sources, Riveter efficiently extracts and segments data to generate key company-specific metrics.

Function List

• AI cue word enhancement: Use ChatGPT-like natural language processing to automatically generate or enhance data based on prompt words entered by the user.
• Large-scale data processing: Ability to process thousands of data records in a short period of time, saving time and labor.
• Image Recognition and Labeling: Automatically recognizes the content in the image and adds the appropriate tags for subsequent retrieval and analysis.
• Data Cleaning: Provides data cleansing capabilities to ensure data accuracy and consistency.
• Real-time preview: Provide real-time feedback and preview results during data processing.

Using Help

Steps for using Riveter:

1. Uploading data:

• After logging in, click the "Upload Data" button. You can choose to upload a CSV file from your local computer or import data directly through the API.
• Make sure your data file contains image paths or directly embedded image data so that Riveter can process the image content.

2. Select the processing mode:

• After the data has been uploaded, you will be taken to a data processing screen. Select the type of operation you wish to perform, such as "Image Recognition" or "Data Enhancement".
• For "Image Recognition", you can choose between the preset labels provided by Riveter or custom labels.
• In Data Enhancement mode, prompts can be entered to instruct the AI on how to process or generate new data.

3. Configure processing parameters:

• In case of image recognition, you can set the recognition accuracy, the level of detail of the label, etc.
• For data enhancement, set parameters such as the amount and diversity of generated data.

4. Implementation processing:

• After confirming the parameter settings, click the "Start Processing" button, Riveter will start processing your data, the processing time may vary depending on the amount of data and processing complexity.
• During processing, you can see the progress bar and estimated completion time on the interface.

5. View results:

• You will be notified when processing is complete. Click "View Result" to view the processed data.
• The results page will show a comparison of the data before and after processing, and you can download the processed dataset or perform further analysis directly on the platform.

6. Data management:

• All processing tasks and data sets are saved in your account. You can review, edit or delete this data at any time.

Caveats:

• data security: Riveter emphasizes data security and all uploaded data is stored encrypted after processing.
• Functional limitations: The free version may have limitations in terms of data volume, processing speed or certain features, upgrading to the paid version unlocks more features.

With an intuitive interface design and clear buttons for operation, Riveter is suitable for users of all skill levels and can be used quickly even by first-time users. With these steps, you can utilize Riveter to efficiently process and enhance image data, providing more valuable data insights for your project or research.