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- Tao Train Single StepStandard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a datasetVotes: 0GitHub stars: 36
- Tao Train SegformerSegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical featureVotes: 0GitHub stars: 36
- Tao Train RtdetrRT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference withVotes: 0GitHub stars: 36
- Tao Train ReidPerson re-identification (ReID). Learns discriminative embeddings to match the same person across differentVotes: 0GitHub stars: 36
- Tao Train Pose ClassificationPose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequencesVotes: 0GitHub stars: 36
- Tao Train PointpillarsPointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via aVotes: 0GitHub stars: 36
- Tao Train Optical InspectionOptical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturingVotes: 0GitHub stars: 36
- Tao Train OneformerOneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with aVotes: 0GitHub stars: 36
- Tao Train OcrnetOCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTCVotes: 0GitHub stars: 36
- Tao Train OcdnetOCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using aVotes: 0GitHub stars: 36
- Tao Train Nvpanoptix3dNVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentationVotes: 0GitHub stars: 36
- Tao Train Nvdinov2NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillationVotes: 0GitHub stars: 36
- Tao Train Metric Learning RecognitionMetric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings forVotes: 0GitHub stars: 36
- Tao Train Mask2formerMask2Former for universal image segmentation (panoptic, instance, and semantic). Transformer-based withVotes: 0GitHub stars: 36
- Tao Train Mask Grounding DinoMask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head forVotes: 0GitHub stars: 36
- Tao Train Mask Auto LabelMAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotationsVotes: 0GitHub stars: 36
- Tao Train Mask Auto EncoderMasked Auto-Encoder (MAE) for self-supervised pretraining and fine-tuning. Masks random patches and reconstructsVotes: 0GitHub stars: 36
- Tao Train Image ClassificationPyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.)Votes: 0GitHub stars: 36
- Tao Train Grounding DinoGrounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder forVotes: 0GitHub stars: 36
- Tao Train Foundation StereoStereo depth estimation using FoundationStereo. Predicts disparity maps from stereo image pairs for 3DVotes: 0GitHub stars: 36
- Tao Train Fast Foundation StereoReal-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant ofVotes: 0GitHub stars: 36
- Tao Train DinoDINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector withVotes: 0GitHub stars: 36
- Tao Train Depth Anything V2Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. PredictsVotes: 0GitHub stars: 36
- Tao Train Deformable DetrDeformable DETR for 2D object detection. Uses deformable attention for efficient multi-scale feature processing,Votes: 0GitHub stars: 36