Our platform’s data labeling starts with an analysis on the data available. If you don’t have data then don’t worry Predictly will help you to collect the right data and annotate it for you.
Our data processing API helps you to process and clean the unstructured data and prepare it for the data annotation process.
Once the data is ready, Our data annotation platform will create projects, assign annotators and track the progress automatically.
Our well trained annotation team will start annotating an initial batch of data. The manual annotation process works in such a way that it keeps checking data points multiple times to have the right label assigned to it.
Predictly’s Active learning API allows to train a model on demand and keep it improving in a loop with the manual annotation process.
Predictly runs a Quality Check at the end to have the accurate dataset ready before handing over to the client.
Predictly provides a fully controlled environment for effectively managing the data labeling process with useful statistical metrics.
Image Classification is a fundamental task that attempts to comprehend an entire image as a whole. The goal is to classify the image by assigning it to a specific label. Typically, Image Classification refers to images in which only one object appears and is analyzed.
Object detection is a method in computer vision that deals with detecting instances of semantic objects of a certain class in digital images and videos.
Segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Landmark detection is a fundamental building block of computer vision applications such as face recognition, pose recognition, emotion recognition, head recognition to put the crown on it, and many more in augmented reality.
Optical character recognition or optical character reader is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo or from subtitle text superimposed on an image.