---
title: README
emoji: 🐠
colorFrom: pink
colorTo: green
sdk: static
pinned: false
---
# fjuice
Yoooo 👋 welcome to **fjuice**.
We build vision systems, datasets, and models that don’t take themselves too seriously — but still run like production-grade tools.
Think:
- synthetic data pipelines that actually scale
- open-vocab vision models that don’t fall apart in the wild
- APIs that feel like: `fjuice.detect()` instead of corporate SDK soup
---
## 🍊 What is fjuice?
fjuice is a research + engineering project focused on:
- synthetic dataset generation at scale (Juicebox series)
- open-vocab vision models (JuiceJet series)
- segmentation + grounding systems
- messy-real-world robustness via controlled randomness
We like structured chaos.
---
## 🧃 Ecosystem
### 🧱 Juicebox
Synthetic datasets for vision training.
- multi-million to multi-billion scale generation
- heavy augmentation + realism injection
- segmentation-first design
- open vocab friendly
### ✈️ JuiceJet
Vision models trained on Juicebox datasets.
- segmentation / detection / grounding models
- open-vocab reasoning over visual scenes
- designed for robustness, not just benchmarks
### ⚙️ fjuice core
A lightweight API layer for running models:
```python
fjuice.detect(image)
fjuice.segment(image)
fjuice.infer(prompt, image)
````
Yes, it’s intentionally simple.
---
## 🧠 Philosophy
We don’t optimize for:
* fancy corporate frameworks
* over-engineered abstractions
* benchmark-only performance
We optimize for:
* real-world robustness
* dataset diversity
* reproducible chaos
* fast iteration
---
## 🚀 Why it exists
Because most vision datasets are either:
* too clean
* too small
* too static
* or too boring
So we built something messy enough to generalize.
---
## 🧪 Status
Actively evolving.
Stuff will break. Stuff will change. That’s the point.
---
## 🪪 License
See `LICENSE` file.
---
## 🌐 Links
* Hugging Face Org: [(Visit Here!)](https://huggingface.co/fjuice)
* Models: JuiceJet series
* Datasets: Juicebox series
* CONTRIBUTING: https://tally.so/r/VLN9zN
---
Made with chaos, caffeine, and too many GPUs.