Redditor Seeks Open Source CNN Projects for Image/Video AI Contributions
Are meaningful open source CNN projects for image/video still available?
A Reddit user (u/alldeltav) recently posted a question that struck a chord with many in the AI community. Having tinkered extensively with convolutional neural networks (CNNs) for real-time event detection about a decade ago, they now seek open source projects to re-engage with the field. They express frustration that the current AI hype seems to offer only two paths: applying ready-made AI tools or working at a major AI lab. They feel there's a missing middle ground for those who want to contribute to foundational CNN research or image/video AI development.
The post reflects a broader trend: as AI becomes more commercialized and dominated by large labs (OpenAI, Google DeepMind, Meta), smaller open source contributions can feel devalued. Yet, many communities still thrive—projects like PyTorch Image Models (timm), OpenMMLab, and Hugging Face’s vision transformers welcome contributors. The user’s nostalgic interest in CNNs (rather than transformers) also points to a gap: many modern image/video projects now rely on Vision Transformers, but CNNs remain crucial for efficiency and real-time applications. This could signal a renewed interest in lighter, more deployable models.
- Redditor with past CNN experience for real-time event detection wants to contribute again.
- Current AI field feels polarized between applying existing models and working at big labs.
- Need for accessible open source CNN projects, especially for image/video, that welcome intermediate contributors.
Why It Matters
Highlights a growing desire among developers for meaningful open source AI work outside big labs.