10 actions in 9 pieces of software · ranked by words, meaning and measured trust · 682 ms
modelrecord9,004 downloads/month
- image-segmentation
Task: image-segmentation
- image-segmentation
modelrecord
- simbrams/segformer-b5-finetuned-ade-640-640
Semantic Segmentation
- simbrams/segformer-b5-finetuned-ade-640-640
skillnvidia/skillsrecord
- tao-train-segformer
SegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical feature extraction, efficient for real-time segmentation tasks. Use when training, evaluating, exporting, quantizing, or running inference for a TAO SegFormer model. Trigger phrases include "train SegFo
- tao-train-segformer
modelrecord
- lectralab/fashion-style-tranfer
A PhotoBooth style transfer workflow that utilizes IPadapter Style, Canny, OpenPose, RemoveBackground, HumanSegmentation, Cloth Segmentation for initial input, and concludes with the application of DeepFake techniques.
- lectralab/fashion-style-tranfer
- 5bfirsh/segformer-b0-finetuned-ade-512-512demo or tutorialno passport yet
modelrecord
- bfirsh/segformer-b0-finetuned-ade-512-512
skillsamuraigpt/generative-media-skillsrecord
- muapi-fashion-try-on
Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.
- muapi-fashion-try-on
- 7b3-mcp-serverfound in code, not yet checkedno passport yet
MCP serverfkdias/b3-mcp-server
- panorama_mercado_b3
Visão geral do mercado brasileiro.
- refresh_dashboard_b3
Atualiza o banco SQLite consumido pelos dashboards Apache Superset.
- panorama_mercado_b3
agentrecord
- Virtual Try-On
Render the user wearing a single product (by SKU) or a full outfit/collection (by collection name) together, using their selfie. Requires a bearer token and an uploaded selfie (see request_user_selfie). e.g. try on SKU GLANCE-12345 e.g. try on these SKUs together as an outfit
- Virtual Try-On
- 9mcp-fashion-serverfound in code, not yet checkedno passport yet
MCP serverrofoso-com/mcp-server-code
- vision.outfit.detect_pieces
Deconstruct an outfit image or influencer photo into individual fashion pieces (e.g. Upper-body garment, Lower-body garment, Dress, Footwear, Bag, Headwear) with normalized bounding box coordinates and detection confidence scores.
- vision.outfit.detect_pieces
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.