giveahand.ai: Advancing Sign Language Detection with Open Source Hand Data

giveahand.ai is an innovative open source initiative by the American Society for Deaf Children dedicated to building a comprehensive, fully tagged dataset of hand images for AI training. By inviting users to upload photos of their hands, the project empowers the community to contribute to more accurate and inclusive sign language recognition technologies. With a user-friendly website featuring a 3D loading interface and a "BROWSE HANDS" section to explore contributed images, it fosters collaboration and transparency in AI development. Though currently at 0 hands gathered, the platform’s mission is clear: to create a diverse, high-quality dataset that supports advancements in accessibility and AI for the deaf and hard of hearing community.

Key Features:

• Open Source Dataset Collection: Crowdsourced hand images for AI training in sign language detection.
• Community Participation: Users can upload hand images to contribute to the dataset.
• Fully Tagged Images: High-quality, annotated images to support accurate model training.
• Manual Keypoint Adjustment Support: Images are available in both fully tagged and pending adjustment states for ongoing refinement.
• Interactive 3D Interface: Engaging web experience with a 3D loading visualization for enhanced user interaction.
• BROWSE HANDS Section: Allows users to explore and view contributed hand images.
• Accessibility-Focused AI Development: Designed to improve sign language recognition and promote inclusive AI.

Pricing: Giveahand.ai is completely free to use and contribute to, with no cost for uploading or accessing the dataset.

Conclusion: giveahand.ai is a powerful, community-driven project that harnesses collective contributions to build a vital open source dataset for sign language AI, making it an essential tool for researchers and developers committed to accessibility and inclusive technology.