Identify-Known-Sites-in-Photo-Album:给定具有挑战性和非常大的数据集，对来自世界各地的成功已知...
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2021-03-17
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Identify-Known-Sites-in-Photo-Album-master.zip （88个子文件） 
Identify-Known-Sites-in-Photo-Album-master feature_extraction 
knn_classification.py 965B features_extraction.py 3KB .gitattributes 66B baseline baseline loss_min_samples_per_class_150_2epochs.csv 16KB
baseline dependencies.txt 258B loss_min_samples_per_class_50_7epochs.csv 165KB baseline training process with min_samples_per_class_10_10epochs.txt 1.76MB loss_min_samples_per_class_10_10epochs.csv 490KB baseline training process with min_samples_per_class_50_7epochs.txt 620KB results_min_samples_per_class_50_7epochs.csv 4.59MB baseline training process with min_samples_per_class_150_2epochs.txt 61KB results_min_samples_per_class_10_10epochs.csv 4.59MB results_min_samples_per_class_150_2epochs.csv 4.59MB training_and_evaluation.ipynb 119KB .idea misc.xml 185B inspectionProfiles profiles_settings.xml 174B modules.xml 268B .gitignore 47B baseline.iml 284B vcs.xml 183B EfficentNet_baseline.py 14KB README.md 2KB data train train.csv 35.35MB train_vs_test.ipynb 34KB test.ipynb 12.94MB train.ipynb 14.4MB test recognition_solution_v2.1.csv 2.89MB clean_test_v3_v4_both.csv 1.69MB clean_test_v3_v4.csv 1.57MB clean_test_v3.csv 1.69MB test_no_out_of_domain.csv 40KB clean_test_v3_both.csv 1.69MB test.csv 2.13MB test_dropna.csv 47KB samples 
41105e9f3fb194e9.jpg 65KB 2 samples 89dbdaa7ad33786a.jpg 65KB 28a296f551880422.jpg 74KB 4750121319764ab0.jpg 45KB 41105b9079469f3d.jpg 50KB 4751ff10c67c0d42.jpg 53KB 4152e1c0f22680ef.jpg 70KB 4110aa646be2a213.jpg 65KB roman forum - class 197779 0f6ac6e6cf5ffeb6.jpg 79KB 6e72b3d4bab64a87.jpg 29KB 28aa56b5d6b1576f.jpg 50KB ed04acefb1d3c5d9.jpg 70KB 411074338c2fdf58.jpg 92KB 471159aa87040f78.jpg 53KB 41501a1e95bd8857.jpg 52KB 4110e5e1c913f6fb.jpg 56KB most samples 0006f34cf361f69c.jpg 73KB 002ffa2d61d4190f.jpg 54KB 001734558e2fde76.jpg 90KB 0010089264bb0573.jpg 81KB fffa5d86cbbae4cb.jpg 74KB 002f0924a58dfc46.jpg 60KB 411016fda8eb4bac.jpg 72KB 41107eaaaf20d491.jpg 61KB 4ee0ac67fb624f99.jpg 38KB landmark_classifier landmarks_csv_files keep_v3_openimage.csv 3.43MB keep_v3_openimage_both.csv 5.18MB
result_yolo.zip 61.72MB openimages_classes.txt 5KB train.txt 9.19MB example_images predictions1.jpg 70KB predictions9.jpg 147KB predictions5.jpg 96KB predictions_v4_3.jpg 50KB predictions6.jpg 51KB predictions_v4_4.jpg 111KB
openimages_landmark_2.png 6.38MB predictions_v4_1.jpg 96KB predictions8.jpg 71KB openimages_maybe_landmark_2.png 10.33MB predictions4.jpg 119KB predictions_v4.jpg 43KB predictions_v4_2.jpg 66KB predictions7.jpg 41KB openimages_maybe_landmark_1.png 8.16MB predictions3.jpg 83KB openimages_landmark_1.png 7.28MB openimages_non_landmark_1.png 9.87MB predictions2.jpg 85KB openimages_non_landmark_2.png 5.97MB files_names_test_set.py 853B landmark_classifier.ipynb 28KB files_names.py 581B train_classes_both_train_and_test_set.txt 9.17MB资源评论
