We collect a variety of images from all over the world and deliver meaningful results. We have experience in many fields: Downtown, Indoor, Object, Nature, Furniture, Sports, Painting, Animals and plants, Food, Sign.

 

Example of image data

 

Quality control for building corpus data:

 

The Uptempo Data team abides by the ESSENTIAL 5 principles that contain our own know-how. And based on this, we build image data that guarantees optimal quality

 

Step 1: Raw data collection

    • Collecting image data in file formats such as JPG and PDF (including text data)
    • Filtering and removing data unsuitable for processing and utilization purposes

Step 2: Source data building

    • Data labelings such as detailed data classification and de-identification of collected raw data
    • Standardization and setup with source data in a form that can be processed through crowd working

Step 3: Source data processing

    • Primary processing: Mark the recognition area of the target image data using a bounding box
    • Secondary processing: Input text (label) in the displayed area

Step 4: Processed data inspection

    • Complete inspection: Implementing basic quality inspection across the construction data by applying strict quality standards
    • Cross-checking: Implementation of grouping and cross-quality inspection by applying K-fold cross-validation method

Step 5: Final delivery of construction data

    • Final delivery to the client only when the final data is of suitable quality
    • For the insufficient amount of construction, only high-quality data is delivered by constructing more than 150% of excess data