Datasets:
image_id stringlengths 9 9 | width int64 1.02k 1.02k | height int64 1.02k 1.02k | bbox stringlengths 13 54 | source stringclasses 7
values |
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b6ab77fd7 | 1,024 | 1,024 | [834.0, 222.0, 56.0, 36.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [226.0, 548.0, 130.0, 58.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [377.0, 504.0, 74.0, 160.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [834.0, 95.0, 109.0, 107.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [26.0, 144.0, 124.0, 117.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [569.0, 382.0, 119.0, 111.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [52.0, 602.0, 82.0, 45.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [627.0, 302.0, 122.0, 75.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [412.0, 367.0, 68.0, 82.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [953.0, 220.0, 56.0, 103.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [30.0, 70.0, 126.0, 133.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [35.0, 541.0, 46.0, 46.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [103.0, 60.0, 117.0, 83.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [417.0, 4.0, 110.0, 91.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [764.0, 299.0, 119.0, 93.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [539.0, 58.0, 58.0, 130.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [139.0, 274.0, 121.0, 76.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [461.0, 634.0, 118.0, 64.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [215.0, 634.0, 113.0, 75.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [134.0, 903.0, 127.0, 49.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [737.0, 545.0, 87.0, 48.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [292.0, 930.0, 43.0, 46.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [0.0, 827.0, 86.0, 58.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [324.0, 44.0, 57.0, 70.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [663.0, 794.0, 116.0, 64.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [325.0, 730.0, 76.0, 72.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [155.0, 554.0, 74.0, 70.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [783.0, 833.0, 70.0, 91.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [534.0, 46.0, 73.0, 224.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [155.0, 281.0, 106.0, 138.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [101.0, 240.0, 82.0, 75.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [583.0, 329.0, 80.0, 83.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [36.0, 595.0, 92.0, 41.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [0.0, 487.0, 46.0, 71.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [25.0, 482.0, 51.0, 60.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [160.0, 689.0, 140.0, 74.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [202.0, 702.0, 104.0, 84.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [852.0, 677.0, 115.0, 158.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [904.0, 700.0, 73.0, 120.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [175.0, 866.0, 82.0, 43.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [612.0, 882.0, 215.0, 136.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [675.0, 986.0, 131.0, 38.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [959.0, 869.0, 23.0, 31.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [600.0, 723.0, 221.0, 81.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [575.0, 146.0, 72.0, 121.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [945.0, 193.0, 57.0, 45.0] | usask_1 |
b6ab77fd7 | 1,024 | 1,024 | [216.0, 440.0, 46.0, 20.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [988.0, 781.0, 36.0, 96.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [331.0, 863.0, 70.0, 95.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [47.0, 226.0, 65.0, 46.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [682.0, 974.0, 108.0, 50.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [63.0, 988.0, 156.0, 36.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [824.0, 901.0, 49.0, 77.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [815.0, 413.0, 90.0, 72.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [468.0, 161.0, 172.0, 66.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [888.0, 537.0, 76.0, 74.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [3.0, 88.0, 106.0, 69.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [266.0, 657.0, 57.0, 76.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [582.0, 771.0, 194.0, 83.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [77.0, 653.0, 118.0, 76.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [673.0, 433.0, 148.0, 92.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [620.0, 673.0, 119.0, 107.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [224.0, 760.0, 90.0, 82.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [160.0, 933.0, 179.0, 70.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [961.0, 784.0, 53.0, 161.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [392.0, 497.0, 178.0, 67.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [0.0, 536.0, 116.0, 75.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [838.0, 761.0, 88.0, 110.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [542.0, 222.0, 151.0, 75.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [157.0, 2.0, 81.0, 54.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [206.0, 0.0, 212.0, 72.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [91.0, 114.0, 50.0, 74.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [0.0, 234.0, 79.0, 78.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [128.0, 328.0, 80.0, 112.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [31.0, 305.0, 124.0, 122.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [143.0, 442.0, 51.0, 97.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [223.0, 319.0, 41.0, 43.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [0.0, 705.0, 58.0, 65.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [0.0, 506.0, 120.0, 71.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [404.0, 506.0, 175.0, 126.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [466.0, 515.0, 109.0, 121.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [682.0, 79.0, 44.0, 63.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [491.0, 189.0, 153.0, 61.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [375.0, 211.0, 39.0, 76.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [405.0, 276.0, 56.0, 50.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [447.0, 291.0, 75.0, 49.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [121.0, 712.0, 87.0, 53.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [287.0, 794.0, 69.0, 74.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [945.0, 798.0, 60.0, 132.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [880.0, 468.0, 56.0, 65.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [878.0, 1005.0, 41.0, 19.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [937.0, 964.0, 53.0, 59.0] | usask_1 |
b53afdf5c | 1,024 | 1,024 | [200.0, 654.0, 39.0, 34.0] | usask_1 |
7b72ea0fb | 1,024 | 1,024 | [332.0, 662.0, 113.0, 50.0] | usask_1 |
7b72ea0fb | 1,024 | 1,024 | [285.0, 755.0, 31.0, 34.0] | usask_1 |
7b72ea0fb | 1,024 | 1,024 | [126.0, 464.0, 65.0, 53.0] | usask_1 |
7b72ea0fb | 1,024 | 1,024 | [363.0, 262.0, 68.0, 145.0] | usask_1 |
7b72ea0fb | 1,024 | 1,024 | [912.0, 656.0, 97.0, 76.0] | usask_1 |
7b72ea0fb | 1,024 | 1,024 | [182.0, 97.0, 92.0, 84.0] | usask_1 |
7b72ea0fb | 1,024 | 1,024 | [208.0, 652.0, 68.0, 84.0] | usask_1 |
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🌾 Global Wheat Detection Dataset
Dataset for the Kaggle competition Global Wheat Detection.
📦 Files
global-wheat-detection-dataset.zip: Complete archive containingData/train/,Data/test/,Data/train.csv, andData/sample_submission.csv.train.csv: Bounding box annotations ([x_min, y_min, width, height]).sample_submission.csv: Sample submission format.
🚀 Download
wget -q -O data.zip "https://huggingface.co/datasets/ceatur/global-wheat-detection-dataset/resolve/main/global-wheat-detection-dataset.zip?download=true"
unzip -q data.zip -d ./
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