StreetVision by NATIX
ق (Qaf)SN72Powered by NATIX’s Internet of Cameras, StreetVision is advancing autonomous driving, Physical AI, and map-making.
Overview
Registration Activity
Neuron registration trends
Powered by NATIX’s Internet of Cameras, StreetVision is advancing autonomous driving, Physical AI, and map-making.
Neuron registration trends
The alpha price in τ, day by day, and what moved it each way.
Log change over the last 30 days +5.39%: protocol buys 0.00%, root sells −0.54%, users net +17.34%, cross-subnet −11.40%, unattributed −0.0029%.
The chart follows the alpha price in τ. Each period starts at its opening price and steps through the mechanisms below, in a fixed order, to its closing price: a step that rises pushed the price up, one that falls pushed it down, and its height is how far it moved the price. A thin line carries each close into the next period’s open; it is dashed where the two differ. The faint candle behind each period is the market’s own open, high, low and close, for context.
With many periods on screen (90 days, or hours), the steps would be too thin to read, so the chart draws the price as a line instead and colours each period by the mechanism that moved it most. Hover a period for the full step-by-step breakdown.
Not here, because they do not move the spot price: the per-block TAO injection into the pool, and burns.
All figures are log changes, not simple percentage changes, so the parts add up exactly to the total; on big moves the two differ (a 10% log fall is a 9.5% price fall).
2026-11-04 UTC, as of ≈00:51 UTC (block 9,429,150)
The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.
Construction site detection and roadwork classification require accurate, reliable image analysis at scale. Organizations need to monitor infrastructure for hazards, permit compliance, and resource allocation, but deploying and maintaining specialized models across distributed locations is costly and operationally complex. A centralized service creates dependency risk and doesn't scale cost-effectively for variable workloads.
A decentralized network of contributors can solve this by running specialized classification models and competing to provide accurate predictions. Economic incentives ensure continuous model improvement and discourage low-quality submissions. Validators maintain network integrity by challenging miners with known test cases and rewarding accuracy through on-chain scoring.
StreetVision implements this as a Bittensor subnet where miners submit binary classifiers that detect roadwork in images (predicting 0.0–1.0) and are rewarded based on accuracy measured by validators. Validators challenge miners with real images from construction datasets and synthetic images generated via diffusion models.
A dynamic reward system penalizes models that stagnate—miners must resubmit improved models every 90 days to maintain full rewards, ensuring the network continuously evolves.
Auto-generated from the GitHub repository and may not reflect the latest changes.
StreetVision is a decentralized Bittensor subnet for image classification and object detection that incentivizes miners to develop and deploy models accurately detecting construction sites and roadwork in images. Validators challenge miners with a balanced mix of real and synthetic media, scoring their predictions and maintaining network integrity through a dynamic reward system that encourages continuous model improvement.
The subnet consists of two main components communicating via Bittensor's P2P layer: Miners run binary classification models that predict whether images contain construction sites/roadwork, returning float predictions in [0.0, 1.0]. Validators challenge miners with a balanced mix of real images from diverse sources (Roadwork API, Hugging Face datasets) and synthetic images generated via diffusion models. Validators score miner responses via the reward mechanism and set on-chain weights using Yuma Consensus to distribute incentives.
The shared ImageSynapse protocol defines the wire format (base64 JPEG image + float prediction). All components register on the Bittensor chain and use the metagraph to discover peers.
Miners must submit at least one model to a public Hugging Face repository. For the first 45 days after submission, miners receive full rewards. After 45 days, rewards gradually decay toward zero, encouraging model resubmission.
Validators rank miners based on prediction accuracy in mixed real and synthetic task scenarios. The Yuma Consensus algorithm translates ranking and performance data into incentives for miners and dividends for validators. Validators are rewarded for safeguarding the network by accurately assessing miner performance.
The sections above were auto-generated from the GitHub repository and may not reflect the latest changes. View repository (github.com, opens in a new tab, external site)
Powered by NATIX’s Internet of Cameras, StreetVision is advancing autonomous driving, Physical AI, and map-making.
This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository (github.com, opens in a new tab, external site) for the latest instructions.
A GPU is recommended for training, but not required for inference while running a miner. Compute capability 6.1 minimum, 7.5 recommended.
Not yet verified: Notes
Machine-extracted from the subnet's repository docs; may be wrong or out of date. Check the repository before buying or renting hardware. Open the repository (github.com, opens in a new tab, external site) · Extracted 28 Sep 2026
Clone the repository
git clone https://github.com/natixnetwork/natix-subnet.git && cd natix-subnet
Create and activate Python 3.11 virtual environment
python3.11 -m venv venv && source venv/bin/activate
Install miner dependencies
pip install -e ".[miner]"
Pre-download training datasets (optional, only required for training)(optional)
python natix/miner/datasets/download_data.py
Generate miner.env file with default configuration
./setup_env.sh
Update miner.env with your configuration (WALLET_NAME, WALLET_HOTKEY, MINER_AXON_PORT, IMAGE_DETECTOR, etc.)
# Edit miner.env with wallet name, hotkey, miner port, and model configuration
Register hotkey on testnet (or use netuid 72 and finney for mainnet)
btcli s register --netuid 323 --wallet.name [wallet_name] --wallet.hotkey [wallet.hotkey] --subtensor.network test
Verify that your port is open before registering on mainnet(optional)
curl your_ip:your_port
Start the miner
chmod +x ./start_miner.sh && ./start_miner.sh
Optionally start cache updater service for improved image caching(optional)
chmod +x ./start_cache_updater.sh && ./start_cache_updater.sh
Clone the repository
git clone https://github.com/natixnetwork/natix-subnet.git && cd natix-subnet
Create and activate Python 3.11 virtual environment
python3.11 -m venv venv && source venv/bin/activate
Install validator core dependencies
pip install -r requirements.validator.txt
Install additional dependencies for synthetic image generation (optional)(optional)
pip install -r requirements.validator-full.txt
Register hotkey on testnet (or use netuid 72 and finney for mainnet)
btcli s register --netuid 323 --wallet.name [wallet_name] --wallet.hotkey [wallet.hotkey] --subtensor.network test
Update validator.env with NETUID, SUBTENSOR_NETWORK, WALLET_NAME, WALLET_HOTKEY, VALIDATOR_AXON_PORT, VALIDATOR_PROXY_PORT, PROXY_CLIENT_URL, WANDB_API_KEY, HUGGING_FACE_TOKEN
# Edit validator.env with configuration details
Start the validator (launches main forward loop, cache updater, and synthetic generator)
pm2 start scripts/ecosystem.validator.config.js
Ensure the ports defined in validator.env are exposed for incoming requests
# Expose VALIDATOR_AXON_PORT and VALIDATOR_PROXY_PORT
| Day (UTC) | Share |
|---|---|
| 2026-11-03 | 0.00% |
| 2026-11-02 | 0.00% |
| 2026-11-01 | 0.00% |
| 2026-10-31 | 0.00% |
| 2026-10-30 | 0.00% |
| 2026-10-29 | 0.00% |
| 2026-10-28 | 0.00% |
| 2026-10-27 | 0.00% |
| 2026-10-26 | 0.00% |
| 2026-10-25 | 0.00% |
| 2026-10-24 | 0.00% |
| 2026-10-23 | 0.00% |
| 2026-10-22 | 0.00% |
| 2026-10-21 | 0.00% |
| 2026-10-20 | 0.00% |
| 2026-10-19 | 0.00% |
| 2026-10-18 | 0.00% |
| 2026-10-17 | 0.00% |
| 2026-10-16 | 0.00% |
| 2026-10-15 | 0.00% |
| 2026-10-14 | 0.00% |
| 2026-10-13 | 0.00% |
| 2026-10-12 | 0.00% |
| 2026-10-11 | 0.00% |
| 2026-10-10 | 0.00% |
| 2026-10-09 | 0.00% |
| 2026-10-08 | 0.00% |
| 2026-10-07 | 0.00% |
| 2026-10-06 | 0.00% |
| 2026-10-05 | 0.00% |
| 2026-10-04 | 0.00% |
| 2026-10-03 | 0.00% |
| 2026-10-02 | 0.00% |
| 2026-10-01 | 0.00% |
| 2026-09-30 | 0.00% |
| 2026-09-29 | 0.00% |
| 2026-09-28 | 0.00% |
| 2026-09-27 | 0.00% |
| 2026-09-26 | 0.00% |
| 2026-09-25 | 0.00% |
| 2026-09-24 | 0.00% |
| 2026-09-23 | 0.00% |
| 2026-09-22 | 0.00% |
| 2026-09-21 | 0.00% |
| 2026-09-20 | 0.00% |
| 2026-09-19 | 0.00% |
| 2026-09-18 | 0.00% |
| 2026-09-17 | 0.00% |
| 2026-09-16 | 0.00% |
| 2026-09-15 | 0.00% |
| 2026-09-14 | 0.00% |
| 2026-09-13 | 0.00% |
| 2026-09-12 | 0.00% |
| 2026-09-11 | 0.00% |
| 2026-09-10 | 0.00% |
| 2026-09-09 | 0.00% |
| 2026-09-08 | 0.00% |
| 2026-09-07 | 0.00% |
| 2026-09-06 | 0.00% |
| 2026-09-05 | 0.00% |
| 2026-09-04 | 0.00% |
| 2026-09-03 | 0.00% |
| 2026-09-02 | 0.00% |
| 2026-09-01 | 0.00% |
| 2026-08-31 | 0.00% |
| 2026-08-30 | 0.00% |
| 2026-08-29 | 0.00% |
| 2026-08-28 | 0.00% |
| 2026-08-27 | 0.00% |
| 2026-08-26 | 0.00% |
| 2026-08-25 | 0.00% |
| 2026-08-24 | 0.00% |
| 2026-08-23 | 0.00% |
| 2026-08-22 | 0.00% |
| 2026-08-21 | 0.00% |
| 2026-08-20 | 0.00% |
| 2026-08-19 | 0.00% |
| 2026-08-18 | 0.00% |
| 2026-08-17 | 0.00% |
| 2026-08-16 | 0.00% |
| 2026-08-15 | 0.00% |
| 2026-08-14 | 0.00% |
| 2026-08-13 | 0.00% |
| 2026-08-12 | 0.00% |
| 2026-08-11 | 0.00% |
| 2026-08-10 | 0.00% |
| 2026-08-09 | 0.00% |
| 2026-08-08 | 0.00% |
| 2026-08-07 | 0.00% |
| 2026-08-06 | 0.00% |