Computer vision assistance

Models 12

• Gen 3
  GENE 26.5

  By Genesis AI

  GENE-26.5 is Genesis AI’s first robotic foundation model system for general-purpose manipulation. It is built for long-horizon, contact-rich dexterity across real-world tasks such as cooking, lab automation, Rubik’s Cube solving, smoothie making, wire harnessing, and multi-object grasping, using one shared model, hardware platform, data strategy, and control stack.

  🤖Robotics🧩Spatial intelligence👁️Computer vision assistance🤖Robotic guidance
  NewMultimodal

  Released 1mo ago
• Gen 3
  MolmoAct 2

  By Ai2

  MolmoAct 2 is Ai2’s open robotics foundation model for real-world robot manipulation. It is an Action Reasoning Model that reasons about 3D structure before acting, supports bimanual manipulation out of the box, and is designed for zero-shot deployment and post-training adaptation across household, lab, and tabletop tasks.

  🤖Robotics🧩Spatial intelligence👁️Computer vision assistance
  NewMultimodal

  Released 1mo ago
• Gen 3
  HY Embodied 0.5 MoT 2B

  By Tencent

  HY-Embodied-0.5 is Tencent Hunyuan’s embodied foundation model suite for real-world agents and robots. It is built for spatial-temporal visual perception and embodied reasoning, including prediction, interaction, and planning, and serves as a "brain" for vision-language-action pipelines. The open release includes a Mixture-of-Transformers 2B edge model optimized for efficient deployment.

  🤖Robotics🧩Spatial intelligence👁️Computer vision assistance
  NewMultimodal

  Released 2mo ago
• Gen 1
  WildDet3D

  By Ai2

  WildDet3D is Ai2’s open model for monocular 3D object detection from a single RGB image. It predicts full 3D bounding boxes, including position, size, and orientation in metric coordinates, and supports flexible prompts such as text queries, point clicks, and 2D boxes. It is designed for open-world spatial understanding across varied cameras and can also use optional depth signals when available.

  🧩Spatial intelligence🔍Image recognition👁️Computer vision assistance
  New3d

  Released 2mo ago
• Gen 3
  GEN 1

  By Generalist AI, Inc.

  GEN-1 is Generalist AI’s large multimodal robot foundation model for real-time action generation in the physical world. It is positioned as a general-purpose embodied AI system that reaches “mastery” on simple physical tasks, with reported 99% average success on selected tasks, about 3x faster task completion than prior state of the art, and adaptation using only about 1 hour of robot data.

  🤖Robotics👁️Computer vision assistance🤖Autonomous mobile robots
  NewMultimodal

  Released 2mo ago
• Gen 3
  Holo 3

  By H Company

  Holo3 is H Company’s computer-use agent model for enterprise workflows. It is designed to see, reason, and act across desktop software and multi-app business environments, with production-focused training in synthetic enterprise systems. H Company positions it as a state-of-the-art model on OSWorld-Verified, with the flagship Holo3-122B-A10B using 10B active parameters out of 122B total.

  🤖Screen-based automation🤖Task automation💼Enterprise assistants🤖Agents👁️Computer vision assistance
  NewMultimodal

  Released 2mo 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
  NewMultimodal

  Released 2mo ago
• Gen 3
  Alpamayo 1.5 10B

  By NVIDIA

  Alpamayo 1.5-10B is NVIDIA’s open 10B vision-language-action model for autonomous driving. It is built as a steerable reasoning engine for AV research, combining multi-camera visual input, text, and egomotion history to produce both chain-of-causation reasoning and future driving trajectories.

  🚗Autonomous driving🔍Advanced reasoning🔍Image interpretation👁️Computer vision assistance
  NewMultimodal

  Released 2mo 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 3mo ago
• Gen 3
  DexWM (Dexterous Interaction World Model)

  By Meta Platforms

  DexWM is a dexterous interaction world model for learning hand-object interactions from human videos. It predicts future latent states from past states and finger-level actions, aiming to model fine-grained manipulation more accurately than coarse-action world models.

  🤖Robotics🤖Ai research assistance👁️Computer vision assistance
  Multimodal

  Released 6mo ago
• Gen 4
  Depth Anything 3

  By ByteDance

  Depth Anything 3 is a spatial reconstruction model that predicts consistent geometry from arbitrary visual inputs, with or without known camera poses.

  🧩Spatial intelligence🌐2D to 3D image conversion👁️Computer vision assistance
  Image

  Released 7mo ago
• Gen 3
  FlowRVS

  By xmz111

  FlowRVS is a referring video object segmentation method that learns a text-conditioned continuous flow to deform a video’s spatiotemporal representation into the target object mask.

  🖼️Image segmentation🔍Image recognition🎥Video analysis👁️Computer vision assistance
  Multimodal

  Released 8mo ago