Download select KINEVA models for free. Run on your own infrastructure, fine-tune with your data, deploy at the edge.
Models are available for evaluation on certified hardware following registration and a declaration of intended use.
Accurate head and person counting in crowded scenes. Works from any camera angle.
Detects license plates in real-time. GDPR-compliant anonymisation mode included.
Detects and classifies passenger cars and commercial trucks for traffic monitoring.
General-purpose 80-class baseline for rapid prototyping and transfer learning.
Road sign detection with GPS-tagged geolocation for infrastructure monitoring.
Head-based face anonymisation. GDPR-compliant, on-device processing.
PCNN model with WiFi probe and GPS fusion. Deployed across 60+ cities.
Download models from Hugging Face or clone from GitHub. Deploy on any NVIDIA GPU or Jetson edge device.
# Install from Hugging Face pip install huggingface_hub # Download a model from huggingface_hub import hf_hub_download model_path = hf_hub_download( repo_id="rebotnix/kineva-head-detection-v3", filename="model.onnx" ) # Run inference import onnxruntime as ort session = ort.InferenceSession(model_path) results = session.run(None, {"input": image_tensor})
KINEVA open source models are available under a permissive license for research and evaluation. Commercial use requires a separate license, contact us for details.
After registration and declaration of intended use, we provide access to the evaluation environment.