creator profile · 234 approved skills · page 5 of 24
nvidia publishes 234 approved skills on explainx.ai. This page loads 10 skills at a time. Current page is led by tao-generate-referring-expressions.
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Four-step image referring-expression pipeline: turns images plus KITTI bounding-box labels into region
OCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a
Run `tao-daft convert` to convert NVIDIA TAO DAFT datasets between supported formats. Do not use for non-DAFT data.
NVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation
NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation
Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for
Mask2Former for universal image segmentation (panoptic, instance, and semantic). Transformer-based with
Mask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for
MAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations
Extract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions.
