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38 lines
1.9 KiB
YAML
38 lines
1.9 KiB
YAML
cards:
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- href: fine-tune_detection/
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name: "Fine-Tune RF-DETR Object Detection"
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labels: [TRAINING, PYTORCH LIGHTNING, INFERENCE]
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version: v1.8.2
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author: Borda
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description: "Fine-tune RF-DETR object detection on any COCO detection dataset from Roboflow Universe — covers PPE safety, traffic, sports, infrastructure, and marine-wildlife use cases."
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- href: inference-latency-benchmark/
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name: "Inference Latency Benchmark"
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labels: [INFERENCE, ONNX, GPU]
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version: v1.8.1
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author: Borda
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description: "Benchmark detection, segmentation, and keypoint models across FP32, FP16+JIT, and ONNX Runtime — measures latency and FPS on GPU using CUDA events."
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- href: fine-tune_segmentation/
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name: "Fine-Tune RF-DETR Instance Segmentation"
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labels: [TRAINING, PYTORCH LIGHTNING, SEGMENTATION, INFERENCE]
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version: v1.8.1
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author: Borda
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description: "Fine-tune RF-DETR instance segmentation on any COCO segmentation dataset from Roboflow Universe — covers training, mask loss metrics, and inference with mask overlays."
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- href: fine-tune_keypoints/
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name: "Fine-Tune RF-DETR Keypoint Detection"
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labels: [TRAINING, PYTORCH LIGHTNING, INFERENCE]
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version: v1.8.0
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author: Borda
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description: "Fine-tune RF-DETR keypoint detection on any COCO keypoint dataset from Roboflow Universe — covers training, metrics, and inference with uncertainty ellipses."
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- href: custom-augmentations/
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name: "Custom Augmentations and Live Training Progress"
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labels: [TRAINING, AUGMENTATION]
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version: v1.5.0
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author: Borda
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description: "Add custom Albumentations augmentations and monitor training metrics in real time."
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- href: pytorch-lightning/
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name: "Training with PyTorch Lightning"
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labels: [TRAINING, PYTORCH LIGHTNING]
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version: v1.6.0
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author: Borda
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description: "Train RF-DETR with PyTorch Lightning — callbacks, checkpointing, and the LightningModule API."
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