Car Model and Brand Detection
To create a car model/brand detection dataset, we extracted different kinds of car models and their brand images from different resources using web scraping techniques. We extracted a sufficient amount of car images from different sites/resources; not all images are high-resolution images and not clear images. Images are captured at the traffic signals on the road with normal cameras; these images are affected by weather conditions, shadows, etc.
Face Mask Detection
Face mask detection dataset is created by collecting several images of people who are not wearing masks, wearing masks of different masks by extracting them from different sources or machines (cameras) of different resolutions. After that, our annotation team annotated those images with two different labels, such as mask, no mask. The main goal of this dataset is to create an AI-based system that will alert a person if a person is not wearing the mask.
Healthcare PPE KIT detection
We collect several images of healthcare staff who are not wearing masks, wearing masks, and not properly wearing a mask. Then we also extracted images of healthcare staff for detecting safety things such as goggles, PPE, vest, Etc. First, we extract all these images by extracting them from different sources, such as social media platforms and machines (cameras) of different resolutions. Then our annotation teams annotated the extracted images with correct label kinds such as masks, no mask, and not wearing them correctly, goggles, PPE kit, vest, etc.
Industrial PPE KIT Detection
We collect several images of people who are not wearing masks, wearing masks, and not properly wearing a mask. Then we extract images of Industrial workers for detecting safety things such as goggles, PPE, helmets, Etc. We extract all these images by extracting them from different sources, such as social media platforms and machines (cameras) of different resolutions. Then our annotation teams annotated the extracted images with correct label kinds such as masks, no mask, and not wearing them correctly, goggles, PPE kit, helmets, etc.
Legal Clause Classification Dataset
Legal Clause Classification Dataset built from various sources like multiple contracts, online contract texts etc and Label them into 24 categories. The sole purpose of this dataset is to identify any given contract text into one of the Clause labels. Although the pre-defined categories can be customized according to the user requirements and same goes for the dataset contract text.
Resume NER Dataset
We need to automate this process to focus on more important sections in less time. How can we automate the resume screening process? By using Natural Language Processing techniques, we can create a model/system to automate the process. If we want to build an accurate and effective model, we need a proper Resume Named Entity Recognition annotated dataset. You can get such a proper dataset at Predictly.
