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giannisan
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heartformer

Object Detection
medical-imaging
heart-anatomy
computer-vision
Eval Results (legacy)
Model card Files
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heartformer
File size: 1,313 Bytes
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{
  "model_name": "Heartformer",
  "architecture": "RF-DETR Nano",
  "task": "object-detection",
  "num_classes": 8,
  "class_names": [
    "heart-anatomy-images",
    "heart_cadaver",
    "heart_cell",
    "heart_ct_scan",
    "heart_drawing",
    "heart_textbook",
    "heart_wall",
    "heart_xray"
  ],
  "input_size": 640,
  "backbone": "DINOv2",
  "patch_size": 16,
  "num_queries": 300,
  "parameters": "30.5M",
  "training": {
    "dataset": "Heart Anatomy Types v2 (Roboflow)",
    "num_images": 621,
    "train_split": 497,
    "valid_split": 62,
    "test_split": 62,
    "epochs": 30,
    "best_epoch": 4,
    "batch_size": 4,
    "effective_batch_size": 16,
    "learning_rate": 1e-4,
    "optimizer": "AdamW",
    "lr_scheduler": "cosine_annealing_warmup",
    "early_stopping_patience": 8,
    "training_time_hours": 1.83,
    "hardware": "Apple M3 MacBook Pro (MPS)"
  },
  "performance": {
    "map_50": 0.977,
    "map_50_95": 0.791,
    "precision_at_0.5": 0.968,
    "recall_at_0.5": 0.989,
    "f1_score_at_0.5": 0.978
  },
  "inference": {
    "default_threshold": 0.3,
    "recommended_threshold": 0.5,
    "max_detections_per_image": 300,
    "average_inference_time_seconds": 1.8
  },
  "license": "apache-2.0",
  "framework": "PyTorch",
  "version": "1.0.0",
  "created": "2024-10-19"
}