Upload V16 label_mapping.json
Browse files- label_mapping.json +71 -15
label_mapping.json
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}
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}
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{
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"labels": [
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"barn",
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"bridge",
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"castle",
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"mosque",
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"skyscraper",
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"stadium",
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"temple",
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"windmill"
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],
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"num_classes": 8,
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"label_to_idx": {
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"barn": 0,
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"bridge": 1,
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"castle": 2,
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"mosque": 3,
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"skyscraper": 4,
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"stadium": 5,
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"temple": 6,
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"windmill": 7
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},
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"idx_to_label": {
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"0": "barn",
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"1": "bridge",
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"2": "castle",
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"3": "mosque",
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"4": "skyscraper",
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"5": "stadium",
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"6": "temple",
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"7": "windmill"
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},
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"model_file": "best_phase2_swa.keras",
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"input_shape": [
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320,
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320,
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3
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],
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"preprocessing": "densenet121.preprocess_input",
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"architecture": "DenseNet121(ImageNet,frozen_Ph1)+Conv2D(256,3x3,relu,same)+BN+MaxPooling2D(2,2)+GeMPooling(p=3.0,trainable)+Dense(256,relu)+BN+Dropout(0.4)+Dense(n_classes,softmax)",
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"training": {
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"phase1": {
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"optimizer": "AdamW",
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"lr": 0.001,
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"weight_decay": 2e-05,
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"warmup_epochs": 3,
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"max_epochs": 25,
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"es_patience": 7,
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"augmentation": "Mixup+CutMix+standard",
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"focal_loss_gamma": 2.0,
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"label_smoothing": 0.1
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},
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"phase2": {
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"optimizer": "DiscriminativeAdamW",
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"lr": 0.0003,
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"weight_decay": 2e-05,
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"lr_multipliers": {
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"conv4_block": 0.1
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},
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"warmup_epochs": 5,
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"max_epochs": 50,
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"es_patience": 12,
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"augmentation": "standard_only",
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"focal_loss_gamma": 2.0,
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"label_smoothing": 0.05,
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"unfreeze": "conv4_block+conv5_block (BN frozen)"
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},
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"swa": {
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"epochs": 10,
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"lr": 0.0001,
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"bn_update_steps": 100
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}
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}
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}
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