10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 691 ms
MCP serverrecord
- spotsound_temporal_grounding_spot
Localise a sound event described in natural language inside an audio recording. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: A wa
- spotsound_temporal_grounding_spot
MCP serverrecord
- temporal_context_routing_generate
Generate a multi-shot video with synchronised audio from a timed script JSON. Returns: A tuple of (path to the generated mp4 with audio, a markdown run summary).
- temporal_context_routing_generate
modelrecord
- candysunplus/grounding-dino-swinb
grounding-dino-swinb
- candysunplus/grounding-dino-swinb
skillnvidia/skillsrecord
- tao-train-mask-grounding-dino
Mask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for open-set segmentation guided by text prompts. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask-Grounding-DINO model. Trigger phrases include "train
- tao-train-mask-grounding-dino
modelrecord
- adirik/grounding-dino
Detect everything with language!
- adirik/grounding-dino
modelrecord
- hautechai/grounding-dino
Grounding DINO: zero-shot text-prompted object detection (SwinT-OGC). H100 build.
- hautechai/grounding-dino
MCP serverrecord
- pinpoint_qa_spatial_grounding_run_inference
Answer a spatial understanding question about an indoor video. Upload a video (or select an example) and ask a question about where a small object is located. The model will describe the object's spatial position relative to nearby reference objects. If a user passes a file as an input, use the uplo
- pinpoint_qa_spatial_grounding_run_inference
skillnvidia/skillsrecord
- tao-generate-image-grounding
Two-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them to pixel-space bounding boxes via a VLM. Use when the user wants to ground captions to bboxes, generate phrase-grounded annotations, auto-label images for grounding, or run the image_ground
- tao-generate-image-grounding
skilldontbesilent2025/dbskillrecord
- dbs-theory-grounding
理论溯源与案例重释。审查 PPT、课程、文案或方法论中的经验判断,先判断命题是否成立,再匹配并核实可信理论,用该理论重释案例并标明边界。适用于给自创理论找依据、给 PPT 补理论来源、判断一句话能否上升为理论、检查是否硬套名人;聚焦单次理论锚定,不默认展开历史同构研究。
- dbs-theory-grounding
agentrecord
- Check answer
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.