Label Studio, but onchain. Annotate datasets, earn crypto, fine-tune AI models all on the 0G stack.
Label Studio, but onchain. Annotate datasets, earn crypto, fine-tune AI models all on the 0G stack.
Heda is a decentralized data annotation marketplace where:
Job Creators upload raw data (images or text), post annotation jobs with ETH bounties
Annotators pick up jobs, label data, and get paid instantly onchain per approved task
Developers purchase verified datasets and fine-tune LLMs on 0G Compute
Every piece of data lives on 0G Storage (permanent, verifiable). Every payment is settled on 0G Chain (trustless, instant). Every fine-tune runs on 0G Compute (decentralized GPU).
Layer | What Heda uses it for |
|---|---|
0G Chain | Job escrow, per-task payments, dataset registry, license purchases |
0G Storage | Raw data uploads, annotation results, COCO JSON + JSONL dataset packages |
0G Compute | LLM fine-tuning on annotated text datasets (Qwen2.5-0.5B, Qwen3-32B) |
Creator uploads data → 0G Storage (root hash)
Creator posts job → AnnotationMarket.sol (bounty locked onchain)
Annotator claims task → claimTask() (30-min reservation, prevents wasted work)
Annotator annotates → Workspace UI (bbox/polygon for images, classification for text)
Annotator submits batch → submitBatch() (1 MetaMask signature for all tasks)
Creator approves → approveWork() (instant ETH payment, auto-closes when complete)
Creator publishes → COCO JSON (images) or JSONL (text) → 0G Storage
Developer purchases → DatasetRegistry.sol (royalty to creator)
Developer downloads → ZIP with images + annotations (image) or JSONL (text)
Developer fine-tunes → 0G Compute Router API (text datasets only)
Contract | Address | Explorer |
|---|---|---|
AnnotationMarket |
| https://chainscan-galileo.0g.ai/address/0x4822c5F0617665543B94a0668837CdbBDEb54C90 |
DatasetRegistry |
| https://chainscan-galileo.0g.ai/address/0x46d4a89e496f3A01785ac5B38ecAc40B081c933c |
- Image annotation : bounding boxes (draw, drag, resize with handles), polygons
- Text annotation : single-label classification with configurable labels
- Batch submit : annotate all tasks, sign once (1 MetaMask popup for N tasks)
- Task claiming : 30-min reservation prevents multiple annotators wasting work on same task
- Draft saving : annotations saved to localStorage, restored on page reload
- Preview before submit : review all tasks (done/pending) before signin
- Auto-close : jobs automatically close when all tasks are approved
- Multi-annotator support : each task claimed independently, parallel work on different tasks
- Instant payment : annotator receives ETH immediately on approval
- COCO JSON export image datasets: standard COCO format with images, annotations, categories
- JSONL export text datasets: 3 schemas supported (Chat Messages, Instruction, Text Completion)
- ZIP download image datasets download as ZIP with images/ folder + annotations/instances.json
- Onchain provenance every dataset root hash links to source data and annotations on 0G Storage
- Royalties purchase price goes directly to publisher (no platform cut)
- 0G Compute integration fetches JSONL from 0G Storage, uploads to 0G Compute, polls status
- Supported models Qwen2.5-0.5B-Instruct ($0.5/M tokens), Qwen3-32B ($4/M tokens)
- Schema-aware JSONL output matches selected schema (chat/instruction/completion)
Input | Annotation type | Output format |
|---|---|---|
Images (PNG/JPG/WEBP) | Bounding boxes, polygons | COCO JSON + ZIP |
Text files (TXT/JSONL) | Classification | JSONL (chat/instruction/completion) |