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Visual classification with decision models

Typed decisions over images, screenshots and video frames: picking labels, checking photos against records or reading game screens.

59 public projects · page 2 of 2

  • Experimental iPhone app for on-device visual decisions: Qwen3-VL on MLX reads option-letter logits for 2-26 choices about a photo.

    ModelprototypeSwift
  • Valen★ 790

    Apache-2.0 multimodal System One models (0.8B, 2B, 4B) that take text, images or video and return probabilities over supplied candidates.

    ModelresearchPython
  • jev-visual★ 317

    Educational MLX project scoring typed questions about one image with Qwen3.5-0.8B on Apple Silicon, with game demos.

    ModelresearchPython
  • Dohnuts★ 36

    Small multimodal System One models that choose, judge or score text, documents and images in one forward pass.

    ModelresearchPython
  • Open 27B multimodal decision model built largely by autonomous agents, serving choice, noul and score on a TypeSafe-compatible API.

    ModelresearchPython
  • Calibration harness that reads yes/no, pick-one and rating answers from one forward pass of a frozen open vision-language model.

    ModelresearchPython
  • Jag: Jev-inspired Qwen3.5-0.8B model that predicts a visual-grounding box in one forward pass, about 20x faster than its base.

    ModelresearchPython
  • Open multimodal decision model fine-tuned from Gemma 4 12B that returns option probabilities for text, image, audio and video questions.

    ModelresearchPython
  • Image-plus-text decision model on Qwen3-VL-2B with LoRA and an answer head that returns one probability per option.

    ModelresearchPython
  • OmniJev: omni-modal 4B decision model answering typed questions about images, video, screens and robot scenes in one pass.

    ModelresearchPython
  • Research toolkit that encodes an image once and answers several typed questions from a shared distribution, plus OpenJev-0.6B text models.

    ModelresearchPython
  • PlayJev: Qwen3.5-0.8B fine-tuned to play ten browser games from raw pixels, one forward pass per move with a probability per option.

    ServiceresearchPython
  • Open Jev-style text-and-image decision models built by a self-improving AI research loop, with an effort setting that picks depth.

    ServiceresearchPython
  • Chinese multimodal moderation research pairing a Qwen3-VL LoRA evidence extractor with Jev policy decisions, benchmarked against baselines.

    ModelresearchPython
  • StartLux's open typed decision models from 0.8B to 27B plus a 35B-A3B MoE, reading text, JSON or images up to 256K tokens.

    ModelresearchPython
  • Open Jev-style decision models with vision (Qwen3.5 4B/9B LoRA) serving Choice, Score and Noul on /v1/systemone.

    LibraryresearchPython
  • SemIf (formerly OpenJev): reads typed option probabilities directly from open models like Qwen3.5-4B, including image inputs, on a home GPU.

    ModelresearchPython
  • Apache-2.0 Gemma 4 12B fine-tune for local typed decisions, chat and image input, served via /v1/systemone and chat completions.

    Serviceresearch
  • Static GGUF quantizations by mradermacher of SargeDev's JEV-27B-VL-Uncensored vision decision model.

    Model
  • 10,000-sample multimodal benchmark for decision models that return full probability distributions over declared candidates.

    BenchmarkresearchPython
  • Multimodal robot decision SDK: camera images plus text go to Qwen3.5-9B with a corrective head that picks the next preset arm skill.

    BenchmarkresearchPython
  • Hugging Face blog on llama.cpp's /v1/systemone endpoint serving decision models locally in Jev's wire format.

    ServiceproductionC++
  • Liquid AI's first decision model for text and images, served at a /v1/systemone endpoint callable with TypeSafe SDKs.

    Libraryproduction
  • OpenAI's Decisions API: GPT-6 Luna answers Noul, Choice and Score questions about text, JSON or images with a probability per option.

    Servicebeta
  • Paper introducing PixelJev, a native-image decision interface on small open multimodal models with few-shot adaptation.

    Paperresearch
  • News that Cloudflare's Clef-omni decision model takes text, images, audio and video in one request, with a Clef-flash price cut.

    Articlediscussion
  • Head-to-head eval page where TrustedRouter's gev-1.0 outperforms Jev on the same JevBench questions and also accepts images.

    Articlediscussion
  • Blog experiment making text-only Jev guess what a sketch shows from a text description of the drawing.

    Articlediscussion
  • Reddit announcement of a multimodal open decision-model family (0.6B to 27B) reporting first place on both Decision Index boards.

    Discussiondiscussion