Dragoneye

Computer vision models with no training required.

От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноМожет изменять данные

Что умеет

  • Create Model: Create a new Dragoneye custom computer-vision model to detect objects, their categories and attributes. Creation is asynchronous: the call returns the model in PENDING status with its uu
  • List Models: List the calling user's custom models, newest first, paginated by cursor. Returns up to `limit` models (default 50, max 200) plus a `next_cursor` to fetch the following page. `next_cursor
  • Get Model: Fetch a single custom model by uuid, including its current status, full model_state, and (for FAILED/REVERTED models) a structured error. Use this to poll the outcome of create_model / upda

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Computer vision models with no training required. Create and manage custom zero-shot vision models that can do object detection, category classification and attribute classification.

Список инструментов сервера (6)

Технические названия из tools/list. Нужны только разработчикам.

create_modelCreate a new Dragoneye custom computer-vision model to detect objects, their categories and attributes. Creation is asynchronous: the call returns the model in PENDING status with its uuid. Poll get_model with that uuid until status is COMPLETED (success) or REVERTED (with an error). Typical poll interval: a few seconds. The `name` is unique per billing account — collisions return MODEL_NAME_CONFLICT.
list_modelsList the calling user's custom models, newest first, paginated by cursor. Returns up to `limit` models (default 50, max 200) plus a `next_cursor` to fetch the following page. `next_cursor` is null on the last page. Treat the cursor as opaque — do not parse it.
get_modelFetch a single custom model by uuid, including its current status, full model_state, and (for FAILED/REVERTED models) a structured error. Use this to poll the outcome of create_model / update_model. Status transitions are PENDING → IN_PROGRESS → COMPLETED, or → FAILED/REVERTED.
update_modelUpdate a custom model's name and/or model_state. Re-runs model generation asynchronously when the state changes; returns PENDING and the same polling rules apply as for create_model. It can update a model in COMPLETED and REVERTED state. Refuses to update a model that already has an in-progress update (PENDING or RUNNING) (MODEL_UPDATE_IN_PROGRESS) or sits in FAILED state (MODEL_IN_FAILED_STATE) — for FAILED, use delete_model + create_model to start fresh. When ONLY `name` changes (state byte-identical), uses a synchronous rename fast-path that skips re-generation.
rename_modelRename a custom model. Synchronous: no re-generation, no PENDING state. It can update a model in COMPLETED and REVERTED state. Refuses if the model is currently being updated (MODEL_UPDATE_IN_PROGRESS) or in FAILED state (MODEL_IN_FAILED_STATE). Renaming to the current name is a no-op.
delete_modelPermanently delete a custom model. Cannot be undone. Refuses to delete a model with an in-progress update (MODEL_HAS_ACTIVE_UPDATE) — wait for it to settle, then retry. Models in FAILED state CAN be deleted and this is the supported way to recover from FAILED.
Dragoneye: подключить к Claude, ChatGPT, Cursor · Connectors.fun