Flood Monitor +1Hr - Data acquisition

Flood Monitoring Org / Flood Monitor +1Hr Public

Target: Cortex-M4F 80MHz Clone this project

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Data collected

10570h 30m 0s

Train / test split

76% / 24%

Dataset

Training (184)

Test (39)

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F2470_20241210000000_to_20241211234500

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ID: 1545589950

Label: 1.617, 1.607, 1.597, 1.588, 1.576, 1.567, 1.558, 1.548, 1.54, 1.531, 1.523, 1.515, 1.508, 1.5, 1.493, 1.486, 1.479, 1.472, 1.465, 1.46, 1.454, 1.449, 1.443, 1.439, 1.432, 1.429, 1.424, 1.42, 1.415, 1.41, 1.406, 1.403, 1.399, 1.395, 1.391, 1.386, 1.383, 1.378, 1.374, 1.371, 1.367, 1.365, 1.363, 1.359, 1.356, 1.351, 1.348, 1.346, 1.342, 1.339, 1.336, 1.332, 1.33, 1.327, 1.323, 1.32, 1.317, 1.314, 1.311, 1.308, 1.305, 1.303, 1.299, 1.296, 1.294, 1.291, 1.288, 1.286, 1.283, 1.28, 1.278, 1.275, 1.272, 1.27, 1.267, 1.264, 1.262, 1.26, 1.258, 1.255, 1.253, 1.25, 1.248, 1.245, 1.243, 1.24, 1.239, 1.236, 1.235, 1.232, 1.229, 1.227, 1.2255051546391753, 1.2240103092783505, 1.222515463917526, 1.2210206185567012, 1.2195257731958764, 1.2180309278350516, 1.2165360824742268, 1.215041237113402, 1.2135463917525775, 1.2120515463917527, 1.210556701030928, 1.2090618556701032, 1.2075670103092784, 1.2060721649484536, 1.204577319587629, 1.2030824742268043, 1.2015876288659795, 1.2000927835051547, 1.19859793814433, 1.1971030927835051, 1.1956082474226806, 1.1941134020618558, 1.192618556701031, 1.1911237113402062, 1.1896288659793814, 1.1881340206185569, 1.186639175257732, 1.1851443298969073, 1.1836494845360825, 1.1821546391752578, 1.180659793814433, 1.1791649484536084, 1.1776701030927836, 1.1761752577319589, 1.174680412371134, 1.1731855670103093, 1.1716907216494845, 1.17019587628866, 1.1687010309278352, 1.1672061855670104, 1.1657113402061856, 1.1642164948453608, 1.1627216494845363, 1.1612268041237115, 1.1597319587628867, 1.158237113402062, 1.1567422680412371, 1.1552474226804124, 1.1537525773195878, 1.152257731958763, 1.1507628865979382, 1.1492680412371135, 1.1477731958762887, 1.146278350515464, 1.1447835051546393, 1.1432886597938146, 1.1417938144329898, 1.140298969072165, 1.1388041237113402, 1.1373092783505157, 1.1358144329896909, 1.134319587628866, 1.1328247422680413, 1.1313298969072165, 1.1298350515463917, 1.1283402061855672, 1.1268453608247424, 1.1253505154639176, 1.1238556701030928, 1.122360824742268, 1.1208659793814433, 1.1193711340206187, 1.117876288659794, 1.1163814432989692, 1.1148865979381444, 1.1133917525773196, 1.1118969072164948, 1.1104020618556703, 1.1089072164948455, 1.1074123711340207, 1.105917525773196, 1.1044226804123711, 1.1029278350515463, 1.1014329896907218, 1.099938144329897, 1.0984432989690722, 1.0969484536082474, 1.0954536082474227, 1.093958762886598, 1.0924639175257733, 1.0909690721649485, 1.0894742268041238, 1.087979381443299, 1.0864845360824742, 1.0849896907216496, 1.0834948453608249, 1.082, 1.08

Sample length: 48h 0m 0s

F2470_20241222000000_to_20241223234500

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ID: 1545589949

Label: 0.848, 0.847, 0.846, 0.845, 0.843, 0.842, 0.841, 0.84, 0.839, 0.838, 0.837, 0.836, 0.835, 0.834, 0.833, 0.832, 0.831, 0.83, 0.829, 0.828, 0.827, 0.826, 0.825, 0.824, 0.823, 0.822, 0.821, 0.82, 0.819, 0.818, 0.817, 0.816, 0.815, 0.814, 0.813, 0.812, 0.811, 0.81, 0.808, 0.807, 0.806, 0.805, 0.804, 0.803, 0.802, 0.801, 0.8, 0.799, 0.798, 0.797, 0.796, 0.795, 0.794, 0.793, 0.792, 0.791, 0.79, 0.789, 0.788, 0.787, 0.786, 0.785, 0.784, 0.783, 0.7924285714285715, 0.7928571428571429, 0.7932857142857144, 0.7937142857142857, 0.7941428571428572, 0.7945714285714286

Sample length: 48h 0m 0s

F2470_20241212000000_to_20241213234500

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ID: 1545589948

Label: 1.079, 1.078, 1.076, 1.075, 1.074, 1.073, 1.072, 1.071, 1.07, 1.068, 1.067, 1.066, 1.065, 1.064, 1.062, 1.061, 1.06, 1.059, 1.058, 1.057, 1.056, 1.055, 1.054, 1.053, 1.051, 1.05, 1.048, 1.047, 1.046, 1.045, 1.044, 1.043, 1.042, 1.04, 1.039, 1.038, 1.037, 1.035, 1.034, 1.033, 1.032, 1.031, 1.03, 1.029, 1.028, 1.027, 1.026, 1.025, 1.024, 1.022, 1.021, 1.02, 1.019, 1.018, 1.017, 1.016, 1.015, 1.014, 1.012, 1.01, 1.009, 1.008, 1.007, 1.006, 1.005, 1.004, 1.003, 1.002, 1.001, 1.0, 0.999, 0.998, 0.997, 0.995, 0.994, 0.993, 0.992, 0.991, 0.99, 0.989, 0.988, 0.987, 0.986, 0.985, 0.984, 0.983, 0.982, 0.981, 0.98, 0.979, 0.978, 0.977, 0.976, 0.975, 0.974, 0.973, 0.972, 0.971, 0.97, 0.969, 0.968, 0.967, 0.966, 0.965, 0.964, 0.963, 0.962, 0.961, 0.96

Sample length: 48h 0m 0s

F2470_20241218000000_to_20241219234500

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ID: 1545589947

Label: 0.8467835051546392, 0.8473402061855669, 0.8478969072164948, 0.8484536082474227, 0.8490103092783505, 0.8495670103092783, 0.8501237113402061, 0.850680412371134, 0.8512371134020619, 0.8517938144329896, 0.8523505154639175, 0.8529072164948454, 0.8534639175257732, 0.854020618556701, 0.8545773195876288, 0.8551340206185567, 0.8556907216494846, 0.8562474226804123, 0.8568041237113402, 0.857360824742268, 0.8579175257731959, 0.8584742268041237, 0.8590309278350515, 0.8595876288659794, 0.8601443298969073, 0.860701030927835, 0.8612577319587629, 0.8618144329896907, 0.8623711340206186, 0.8629278350515464, 0.8634845360824742, 0.8640412371134021, 0.8645979381443298, 0.8651546391752577, 0.8657113402061856, 0.8662680412371134, 0.8668247422680412, 0.867381443298969, 0.8679381443298969, 0.8684948453608248, 0.8690515463917525, 0.8696082474226804, 0.8701649484536083, 0.8707216494845361, 0.8712783505154639, 0.8718350515463917, 0.8723917525773196, 0.8729484536082475, 0.8735051546391752, 0.8740618556701031, 0.874618556701031, 0.8751752577319588, 0.8757319587628866, 0.8762886597938144, 0.8768453608247423, 0.8774020618556702, 0.8779587628865979, 0.8785154639175258, 0.8790721649484536, 0.8796288659793814, 0.8801855670103093, 0.8807422680412371, 0.881298969072165, 0.8818556701030928, 0.8824123711340206, 0.8829690721649485, 0.8835257731958763, 0.8840824742268041, 0.884639175257732, 0.8851958762886598, 0.8857525773195877, 0.8863092783505154, 0.8868659793814433, 0.8874226804123712, 0.887979381443299, 0.8885360824742268, 0.8890927835051546, 0.8896494845360825, 0.8902061855670104, 0.8907628865979381, 0.891319587628866, 0.8918762886597938, 0.8924329896907217, 0.8929896907216495, 0.8935463917525773, 0.8941030927835052, 0.8946597938144331, 0.8952164948453608, 0.8957731958762887, 0.8963298969072165, 0.8968865979381444, 0.8974432989690722, 0.898, 0.899, 0.901, 0.904, 0.91, 0.915, 0.918, 0.917, 0.916, 0.913, 0.912, 0.909, 0.908, 0.907, 0.906, 0.903, 0.902, 0.9, 0.897, 0.905, 0.896, 0.895, 0.894, 0.893, 0.892, 0.891, 0.89, 0.889, 0.888, 0.887, 0.886, 0.885, 0.884

Sample length: 48h 0m 0s

F2470_20241224000000_to_20241224101500

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ID: 1545589946

Label: 0.796, 0.797, 0.798, 0.799, 0.8, 0.801, 0.802, 0.803, 0.804, 0.805, 0.806, 0.807, 0.808, 0.809, 0.81, 0.811, 0.812, 0.813, 0.814,

Sample length: 10h 30m 0s

F2470_20241216000000_to_20241217234500

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ID: 1545589945

Label: 0.881, 0.88, 0.879, 0.878, 0.877, 0.876, 0.875, 0.874, 0.872, 0.871, 0.87, 0.869, 0.868, 0.867, 0.866, 0.865, 0.864, 0.863, 0.862, 0.861, 0.86, 0.859, 0.858, 0.857, 0.856, 0.855, 0.854, 0.853, 0.852, 0.851, 0.85, 0.849, 0.848, 0.847, 0.846, 0.845, 0.844, 0.843, 0.842, 0.841, 0.8445567010309278, 0.8451134020618556, 0.8456701030927835, 0.8462268041237113

Sample length: 48h 0m 0s

F2470_20241220000000_to_20241221234500

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ID: 1545589944

Label: 0.883, 0.882, 0.88, 0.879, 0.878, 0.877, 0.876, 0.875, 0.874, 0.872, 0.871, 0.87, 0.869, 0.868, 0.867, 0.865, 0.864, 0.863, 0.862, 0.861, 0.86, 0.859, 0.858, 0.856, 0.855, 0.854, 0.853, 0.852, 0.851, 0.85, 0.849, 0.848, 0.847, 0.846, 0.844, 0.843, 0.842, 0.841, 0.84, 0.839, 0.838, 0.837, 0.845

Sample length: 48h 0m 0s

F2470_20241214000000_to_20241215234500

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ID: 1545589943

Label: 0.96, 0.959, 0.958, 0.957, 0.956, 0.955, 0.954, 0.953, 0.952, 0.951, 0.95, 0.949, 0.948, 0.947, 0.946, 0.945, 0.944, 0.943, 0.942, 0.941, 0.94, 0.939, 0.938, 0.937, 0.936, 0.935, 0.934, 0.933, 0.932, 0.931, 0.93, 0.929, 0.928, 0.927, 0.926, 0.925, 0.923, 0.922, 0.921, 0.92, 0.919, 0.918, 0.917, 0.916, 0.915, 0.914, 0.913, 0.912, 0.911, 0.91, 0.909, 0.908, 0.907, 0.906, 0.905, 0.904, 0.903, 0.902, 0.901, 0.9, 0.899, 0.898, 0.897, 0.896, 0.895, 0.894, 0.893, 0.892, 0.891, 0.89, 0.889, 0.888, 0.886, 0.887, 0.885, 0.884, 0.883, 0.882, 0.881

Sample length: 48h 0m 0s

F2470_20241130000000_to_20241201234500

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ID: 1502827438

Label: 0.856381443298969, 0.8562577319587629, 0.8561340206185567, 0.8560103092783505, 0.8558865979381444, 0.8557628865979381, 0.8556391752577319, 0.8555154639175258, 0.8553917525773196, 0.8552680412371134, 0.8551443298969073, 0.855020618556701, 0.8548969072164948, 0.8547731958762886, 0.8546494845360825, 0.8545257731958763, 0.8544020618556701, 0.8542783505154639, 0.8541546391752577, 0.8540309278350515, 0.8539072164948454, 0.8537835051546392, 0.853659793814433, 0.8535360824742267, 0.8534123711340206, 0.8532886597938144, 0.8531649484536082, 0.8530412371134021, 0.8529175257731959, 0.8527938144329896, 0.8526701030927835, 0.8525463917525773, 0.8524226804123711, 0.852298969072165, 0.8521752577319588, 0.8520515463917525, 0.8519278350515463, 0.8518041237113402, 0.851680412371134, 0.8515567010309278, 0.8514329896907217, 0.8513092783505154, 0.8511855670103092, 0.8510618556701031, 0.8509381443298969, 0.8508144329896907, 0.8506907216494846, 0.8505670103092783, 0.8504432989690721, 0.850319587628866, 0.8501958762886598, 0.8500721649484536, 0.8499484536082474, 0.8498247422680412, 0.849701030927835, 0.8495773195876288, 0.8494536082474227, 0.8493298969072165, 0.8492061855670103, 0.849082474226804, 0.8489587628865979, 0.8488350515463917, 0.8487113402061855, 0.8485876288659794, 0.8484639175257732, 0.8483402061855669, 0.8482164948453608, 0.8480927835051546, 0.8479690721649484, 0.8478453608247423, 0.8477216494845361, 0.8475979381443298, 0.8474742268041237, 0.8473505154639175, 0.8472268041237113, 0.8471030927835052, 0.846979381443299, 0.8468556701030927, 0.8467319587628865, 0.8466082474226804, 0.8464845360824742, 0.846360824742268, 0.8462371134020619, 0.8461134020618556, 0.8459896907216494, 0.8458659793814433, 0.8457422680412371, 0.8456185567010309, 0.8454948453608248, 0.8453711340206185, 0.8452474226804123, 0.8451237113402061, 0.845, 0.844, 0.843, 0.842, 0.847, 0.852, 0.855, 0.857, 0.856, 0.858, 0.86, 0.861, 0.859, 0.862, 0.871, 0.878, 0.879, 0.88, 0.881, 0.882, 0.883, 0.884, 0.885, 0.886, 0.887, 0.888, 0.889, 0.89, 0.891, 0.892, 0.894, 0.895, 0.896, 0.897, 0.898, 0.899, 0.9, 0.901, 0.902, 0.903, 0.904, 0.905, 0.906, 0.908, 0.909, 0.911, 0.912, 0.913, 0.915, 0.916, 0.918, 0.92, 0.921, 0.923

Sample length: 48h 0m 0s

F2470_20241208000000_to_20241209234500

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ID: 1502827436

Label: 1.863, 1.872, 1.88, 1.885, 1.893, 1.901, 1.909, 1.918, 1.926, 1.936, 1.948, 1.962, 1.976, 1.982, 1.99, 2.0, 2.008, 2.016, 2.023, 2.028, 2.036, 2.042, 2.048, 2.054, 2.061, 2.064, 2.068, 2.075, 2.078, 2.081, 2.084, 2.086, 2.09, 2.093, 2.097, 2.101, 2.103, 2.104, 2.106, 2.109, 2.112, 2.12, 2.132, 2.14, 2.145, 2.15, 2.151, 2.155, 2.158, 2.163, 2.164, 2.168, 2.169, 2.173, 2.174, 2.175, 2.177, 2.18, 2.181, 2.183, 2.185, 2.186, 2.187, 2.189, 2.188, 2.19, 2.191, 2.192, 2.184, 2.178, 2.172, 2.167, 2.166, 2.165, 2.16, 2.157, 2.153, 2.149, 2.147, 2.142, 2.139, 2.136, 2.134, 2.129, 2.128, 2.125, 2.121, 2.118, 2.115, 2.108, 2.105, 2.098, 2.094, 2.083, 2.076, 2.074, 2.069, 2.059, 2.055, 2.05, 2.045, 2.041, 2.038, 2.031, 2.026, 2.02, 2.013, 2.001, 1.995, 1.987, 1.98, 1.974, 1.966, 1.958, 1.951, 1.943, 1.929, 1.919, 1.9, 1.892, 1.883, 1.873, 1.864, 1.855, 1.845, 1.835, 1.824, 1.816, 1.806, 1.792, 1.782, 1.771, 1.76, 1.749, 1.739, 1.727, 1.715, 1.704, 1.694, 1.682, 1.671, 1.66, 1.65, 1.637, 1.627

Sample length: 48h 0m 0s

F2470_20241126000000_to_20241127234500

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ID: 1502827435

Label: 1.216, 1.213, 1.209, 1.206, 1.203, 1.2, 1.196, 1.193, 1.19, 1.187, 1.184, 1.18, 1.177, 1.174, 1.171, 1.169, 1.166, 1.163, 1.16, 1.157, 1.155, 1.151, 1.148, 1.145, 1.143, 1.14, 1.137, 1.135, 1.131, 1.129, 1.126, 1.124, 1.12, 1.118, 1.115, 1.112, 1.109, 1.108, 1.105, 1.102, 1.1, 1.098, 1.095, 1.093, 1.091, 1.089, 1.087, 1.085, 1.083, 1.081, 1.079, 1.078, 1.076, 1.074, 1.072, 1.071, 1.069, 1.067, 1.065, 1.064, 1.063, 1.061, 1.06, 1.058, 1.056, 1.055, 1.053, 1.051, 1.049, 1.047, 1.046, 1.044, 1.043, 1.042, 1.04, 1.039, 1.037, 1.036, 1.034, 1.033, 1.031, 1.03, 1.028, 1.027, 1.025, 1.024, 1.023, 1.021, 1.02, 1.018, 1.017, 1.016, 1.015, 1.014, 1.012, 1.011, 1.01, 1.008, 1.007, 1.005, 1.004, 1.003, 1.002, 1.0, 0.998, 0.997, 0.996, 0.995, 0.994, 0.992, 0.991, 0.99, 0.988, 0.987, 0.986, 0.984, 0.983, 0.982, 0.981, 0.98, 0.978, 0.977, 0.976, 0.974, 0.973, 0.972, 0.971, 0.97, 0.968, 0.967, 0.966, 0.965, 0.964, 0.963, 0.962, 0.961, 0.96, 0.959, 0.958, 0.957, 0.956, 0.955, 0.954, 0.953, 0.952, 0.951, 0.95, 0.949, 0.948, 0.947, 0.946, 0.945, 0.944, 0.943, 0.942, 0.941, 0.94, 0.939, 0.938, 0.937, 0.936, 0.934, 0.933, 0.932, 0.931

Sample length: 48h 0m 0s

F2470_20241204000000_to_20241205234500

Download

ID: 1502827434

Label: 0.88, 0.879, 0.878, 0.877, 0.876, 0.875, 0.874, 0.873, 0.872, 0.871, 0.87, 0.869, 0.868, 0.867, 0.866, 0.865, 0.864, 0.863, 0.862, 0.859, 0.857, 0.855, 0.854, 0.852, 0.853, 0.851, 0.856, 0.858, 0.861, 0.86, 0.887, 0.889, 0.89, 0.896, 0.912, 0.914, 0.911, 0.908, 0.907, 0.906, 0.905, 0.904, 0.91, 0.913, 0.915, 0.916, 0.917, 0.918, 0.92, 0.923, 0.924, 0.926, 0.927, 0.928, 0.931, 0.932, 0.935, 0.938, 0.94, 0.943, 0.947, 0.949, 0.952, 0.955, 0.959, 0.963, 0.966, 0.97, 0.973, 0.98, 0.994, 1.029, 1.075, 1.202, 1.245, 1.275, 1.284, 1.292, 1.304, 1.315, 1.327, 1.338, 1.351, 1.365, 1.378, 1.393, 1.407, 1.422, 1.432, 1.44, 1.451, 1.461, 1.47, 1.478, 1.487, 1.495, 1.503, 1.511, 1.519, 1.527, 1.537, 1.546, 1.557, 1.566

Sample length: 48h 0m 0s

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Advanced settings

Upload data in exact order of the info.labels file (slower)

This dataset format uses bounding box labeling, used for object detection.

This dataset format uses one label per sample. You may wish to change your project labeling method to 'one label per data item' in the project dashboard.

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Dataset annotation format

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Directory structure

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Label format

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Example dataset

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Collect data directly from your phone, computer, device, or development board.

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Use the 'Record new data' section to collect data from this device.

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You can connect almost any device over serial using our data forwarder:

$ edge-impulse-data-forwarder

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Export data

Export raw data

Export type

Retain crops and splits

Export output

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Notification settings

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	Name
	JB Jim Bruges Edge Impulse staff
	JB( Jim Bruges (Demo) Edge Impulse staff

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Edit labels

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The selected samples contain the following labels. Which ones do you want to edit?

Set the label (leave empty to remove these labels):

Dataset train / test split ratio

Training data is used to train your model, and testing data is used to test your model's accuracy after training. We recommend an approximate 80/20 train/test split ratio for your data for every class (or label) in your dataset, although especially large datasets may require less testing data.

Suggested train / test split

80% / 20%

Labels in your dataset

Perform train / test split

Use this option to rebalance your data, automatically splitting items between training and testing datasets. Warning: this action cannot be undone.

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