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Hachi
✓ verifiedPaid
Lightweight computer-vision SDK letting developers add real-time CV features to apps with a few lines of Python code.
6.4K saves
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Voxel51
✓ verifiedFreemium
Multimodal data platform for computer vision and physical-AI teams who need to curate, annotate, and evaluate large visual datasets.
115K visits/mo
Pricing
No public pricing
No public pricing
Core features
- ✦Real-time computer-vision processing on consumer CPUs
- ✦Simple integration via a few lines of Python code
- ✦Works across varying resolutions and scales, including selfie video
- ✦Runs anywhere from a local machine to a VPS
- ✦Auto-scales to available compute power
- ✦Dataset curation and filtering across massive multimodal datasets
- ✦Support for images, video, point clouds, and time-series data in one platform
- ✦Model evaluation and scene generation tools
- ✦Annotation workflows with QA and active learning selection
- ✦Deployable on-premise, air-gapped, or in the cloud
- ✦Role-based access control and dataset versioning
- ✦Open-source core plus integrations with existing ML tooling
Use cases
- →Developers embedding real-time CV features into an existing app
- →Running vision processing locally without cloud dependency
- →Building on VPS or personal hardware with limited compute
- →Curating training data to improve model accuracy
- →Annotating large-scale visual datasets for computer vision projects
- →Evaluating and comparing model performance on visual data
- →Managing datasets for robotics, autonomous systems, or defense applications
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