Object identification

Models 3

• Gen 3
  Falcon Perception

  By Technology Innovation Institute

  Falcon Perception is TII UAE’s 0.6B early-fusion vision-language model for open-vocabulary grounding and instance segmentation. Given an image and a natural language query, it can return zero, one, or many matching objects with pixel-accurate masks, making it suited for promptable object selection and dense visual localization tasks.

  🖼️Image segmentation🔍Image recognition🔍Image querying🔍Object identification
  Multimodal

  Released 3mo ago
• Gen 3
  Photon

  By Moondream

  Photon is Moondream’s real-time vision-language model aimed at production video and image analysis. It is designed to deliver VLM-style visual reasoning fast enough for live use cases such as manufacturing inspection, broadcast moderation, retail monitoring, and security feeds.

  🔍Image interpretation👓Visual assistance🔍Object identification👁️Computer vision assistance
  Multimodal

  Released 3mo ago
• Gen 7
  OmniScient Model

  By ByteDance

  OmniScient Model (OSM) is an open-ended visual recognition approach that predicts free-form class labels for visual entities without requiring a predefined vocabulary at test time.

  🔍Image recognition🖼️Image segmentation🔍Object identification👁️Computer vision assistance
  Text

  Released 4mo ago