TwelveLabs

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Tags

• #video-understanding
• #search
• #multimodal
• #embeddings
• #api

• View Moondream details

  VisionFREEMIUMOpen core

  MO

  Moondream

  M87 Labs

  Tiny open vision-language model for efficient image understanding.

  An open-weights family of small vision-language models for captioning, visual Q&A, pointing, counting, and object detection — small enough to run on-device (checkpoints down to 0.5B on Hugging Face). Run it locally with the Photon engine, or call Moondream Cloud's OpenAI-compatible API with a free monthly credit tier and pay-per-image pricing.

  AI insight: Among the smallest open VLMs — a 0.5B checkpoint runs on-device, yet the family still does pointing, counting, and object detection.

  • vision-language
  • open-weights
  • on-device
  • object-detection

  Open
• View LandingAI details

  VisionFREEMIUM

  LA

  LandingAI

  LandingAI

  Visual prompting + vision agents from Andrew Ng's lab.

  Build vision applications with a labelling-light workflow — point at examples, get a deployable detector. Recently extended into vision agents that reason over images and PDFs without bespoke training.

  AI insight: From Andrew Ng's lab — its 'visual prompting' lets you point at a few examples instead of labeling a full training set.

  • visual-prompting
  • agents
  • document-ai
  • no-code

  Open
• View Roboflow details

  VisionFREEMIUM

  RO

  Roboflow

  Roboflow

  Vision MLOps end-to-end. Annotate, train, deploy.

  Annotation tooling, auto-labelling, hosted training, and edge deployment for computer-vision projects. Strong default when you're shipping a custom vision model rather than reaching for a multimodal LLM.

  AI insight: For when the answer is a small custom vision model, not a multimodal LLM — it owns the annotate-train-deploy loop end to end.

  • annotation
  • training
  • deployment
  • edge

  Open
• View Voxel51 details

  VisionFREEMIUMOpen core

  VO

  Voxel51

  Voxel51

  FiftyOne — open-source vision data platform.

  Open-source toolkit for exploring, debugging, and curating vision datasets. Strong story for finding model failure modes, balancing classes, and tracking experiment drift across visual data at scale.

  AI insight: FiftyOne's superpower is surfacing the bad labels and failure cases hiding in a vision dataset — debugging data, not just models.

  • open-source
  • datasets
  • evaluation
  • python

  Open