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Label Studio
Toloka
Appen
Video
Image
Data Collection
Action Recognition
Audio Recording
ClassificationVideo Creator and Annotator for Toloka AI Household Tasks Project. Core strengths include Toloka and Crowdgen. Education includes Secondary School Certificate, Armenitola Government High School (1991) and Certificate, BRAC University (2005). AI-training focus includes data types such as Video and Image and labeling workflows including Audio Recording, Evaluation, and Rating.
This project involves the construction and verification of a multi-modal (video-based) dataset focusing on daily life scenarios in a home environment.
Compare two images and decide which one is better in terms of overall visual quality and usefulness, given the creative intent of the image.
Build a high-quality, demographically diverse dataset of facial images to advance research in age estimation, face recognition across age progression, and digital identity verification.
● Record yourself performing household tasks from a first-person perspective ● All quality standards must be met for a recording to be accepted ● The focus is on capturing clear, stable footage of your hands doing useful physical work
1. Participants are required to record themselves following a set of instructions provided in the test case. 2. Participants must be 18+ years old and must sign the NDA and Consent Form. 3. Participants must have access to at least 2 of these types of devices Desktop / Laptop / Smartphone or Tablet (Android or iOS). 4. Access to a vehicle (4-wheeler) is required for some of the slots. 5. Participants are required to capture 8 short live videos, along with some images, following the light conditions, locations, and other requirements stated in the slot.
Certificate, Computer Networking
Certificate, Oracle Database and Application Development
Deputy Manager, IT
Assistant Manager, IT
