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task_image_classifier

Image Classification
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efficientnet
vm-ai
activity-recognition
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task_image_classifier
File size: 2,243 Bytes
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{
  "checkpoint": "models\\efficientnet_b4_classifier\\efficientnet_b4_classifier.pth",
  "test_samples": 1469,
  "top1_accuracy": 0.9394,
  "topk_accuracy": {
    "top1": 0.9394,
    "top2": 0.9741,
    "top3": 0.985,
    "top4": 0.9912,
    "top5": 0.9946,
    "top6": 0.9966,
    "top7": 0.998,
    "top8": 0.9986,
    "top9": 0.9993,
    "top10": 0.9993,
    "top11": 0.9993,
    "top12": 0.9993,
    "top13": 0.9993,
    "top14": 1.0
  },
  "macro_f1": 0.9394,
  "weighted_f1": 0.9395,
  "per_class": {
    "basketball": {
      "precision": 0.9811,
      "recall": 0.9811,
      "f1": 0.9811,
      "support": 106
    },
    "cleaning": {
      "precision": 0.8763,
      "recall": 0.8333,
      "f1": 0.8543,
      "support": 102
    },
    "computer_work": {
      "precision": 0.9259,
      "recall": 0.9434,
      "f1": 0.9346,
      "support": 106
    },
    "cooking": {
      "precision": 0.94,
      "recall": 0.8868,
      "f1": 0.9126,
      "support": 106
    },
    "cycling": {
      "precision": 0.9706,
      "recall": 0.934,
      "f1": 0.9519,
      "support": 106
    },
    "driving": {
      "precision": 0.9811,
      "recall": 0.9811,
      "f1": 0.9811,
      "support": 106
    },
    "football": {
      "precision": 1.0,
      "recall": 0.9811,
      "f1": 0.9905,
      "support": 106
    },
    "gym": {
      "precision": 0.9706,
      "recall": 0.934,
      "f1": 0.9519,
      "support": 106
    },
    "office": {
      "precision": 0.934,
      "recall": 0.934,
      "f1": 0.934,
      "support": 106
    },
    "pet_care": {
      "precision": 0.9903,
      "recall": 0.9623,
      "f1": 0.9761,
      "support": 106
    },
    "reading": {
      "precision": 0.8932,
      "recall": 0.8679,
      "f1": 0.8804,
      "support": 106
    },
    "restaurant": {
      "precision": 0.9204,
      "recall": 0.9811,
      "f1": 0.9498,
      "support": 106
    },
    "running": {
      "precision": 0.949,
      "recall": 0.9789,
      "f1": 0.9637,
      "support": 95
    },
    "shopping": {
      "precision": 0.8347,
      "recall": 0.9528,
      "f1": 0.8899,
      "support": 106
    }
  }
}