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TrainingDataPro
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plantations_segmentation

Tasks:

Image Segmentation

Languages: English

Tags: biology code

License: cc-by-nd-4.0

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image_id int32 1 13	image image	class_segmentation image	object_segmentation image	shapes large_string
1				"[{'type': 'points', 'label': 'plant_center', 'points': (111.69, 227.25)}, {'type': 'points', 'label': 'plant_center', 'points': (77.59, 128.12)}, {'type': 'points', 'label': 'plant_center', 'points': (55.23, 31.58)}, {'type': 'polygon', 'label': 'greenery', 'points': [(149.07, 0.0), (149.68, 1.23), (138.1, 20.78), (135.92, 24.4), (126.51, 33.82), (125.06, 35.99), (122.16, 37.44), (124.34, 41.06), (127.23, 35.99), (130.85, 33.82), (137.37, 31.64), (143.16, 33.09), (146.06, 38.16), (147.51, 44.68)..."
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5				"[{'type': 'polygon', 'label': 'First', 'points': [(1999.0, 63.0), (1987.0, 68.0), (1970.0, 69.0), (1969.0, 76.0), (1978.0, 85.0), (1999.0, 87.0)]}, {'type': 'polygon', 'label': 'First', 'points': [(1969.0, 0.0), (1973.0, 20.0), (1969.0, 28.0), (1975.0, 36.0), (1982.0, 40.0), (1991.0, 41.0), (1999.0, 45.0), (1999.0, 0.0)]}, {'type': 'polygon', 'label': 'First', 'points': [(0.0, 446.9), (0.0, 694.0), (15.0, 695.0), (18.0, 698.0), (20.0, 709.0), (24.0, 716.0), (23.0, 723.0), (11.0, 735.0), (1.0, 73..."
6				"[{'type': 'polygon', 'label': 'greenery', 'points': [(493.8, 76.32), (495.72, 76.2), (498.12, 75.96), (501.48, 75.24), (503.88, 74.76), (506.76, 76.08), (509.64, 77.76), (510.12, 81.6), (509.64, 84.84), (509.04, 87.24), (514.2, 87.84), (516.36, 90.84), (519.48, 93.72), (521.04, 96.84), (521.88, 99.36), (520.68, 102.96), (516.84, 106.2), (512.28, 106.8), (508.56, 106.8), (506.28, 109.56), (503.04, 114.0), (499.08, 116.28), (495.72, 116.4), (491.64, 116.4), (487.44, 111.36), (487.44, 108.24), (490..."
7				"[{'type': 'polygon', 'label': 'First', 'points': [(131.0, 304.0), (125.0, 312.0), (127.0, 320.0), (136.0, 332.0), (143.0, 332.0), (147.0, 328.0), (150.0, 319.0), (157.0, 319.0), (158.0, 313.0), (156.0, 308.0), (148.0, 300.0), (138.82, 293.87), (135.22, 301.3)]}, {'type': 'polygon', 'label': 'First', 'points': [(26.0, 253.0), (16.0, 257.0), (11.0, 262.0), (13.0, 272.0), (21.0, 275.0), (27.0, 274.0), (31.0, 256.0)]}, {'type': 'polygon', 'label': 'First', 'points': [(45.0, 291.0), (40.0, 296.0), (4..."
8				"[{'type': 'polygon', 'label': 'First', 'points': [(680.0, 0.0), (679.0, 10.0), (681.0, 13.0), (693.0, 17.0), (717.0, 17.0), (722.0, 22.0), (731.0, 21.0), (735.0, 24.0), (740.0, 37.0), (744.0, 40.0), (744.0, 44.0), (733.0, 59.0), (732.0, 70.0), (748.0, 104.0), (760.0, 116.0), (760.0, 122.0), (755.0, 132.0), (757.0, 137.0), (750.0, 144.0), (744.0, 156.0), (744.0, 170.0), (747.0, 176.0), (758.0, 186.0), (764.0, 189.0), (777.0, 188.0), (789.0, 204.0), (780.0, 220.0), (776.0, 238.0), (783.0, 248.0), ..."
9				"[{'type': 'polygon', 'label': 'greenery', 'points': [(0.0, 313.46), (3.1, 313.6), (7.4, 312.4), (15.3, 311.3), (19.1, 309.0), (23.0, 303.9), (24.5, 299.5), (23.3, 292.1), (21.2, 287.9), (19.2, 285.8), (19.0, 281.1), (16.8, 275.2), (13.2, 273.8), (7.9, 272.6), (2.2, 271.8), (0.0, 272.36)]}, {'type': 'polygon', 'label': 'greenery', 'points': [(0.0, 194.35), (2.84, 196.3), (10.72, 200.04), (16.52, 199.0), (20.46, 202.11), (29.38, 204.6), (35.6, 203.15), (38.92, 197.96), (38.92, 192.16), (38.92, 185..."
10				"[{'type': 'polygon', 'label': 'First', 'points': [(0.0, 456.0), (7.0, 452.0), (19.0, 452.0), (35.0, 447.0), (41.0, 447.0), (47.0, 452.0), (64.0, 449.0), (74.0, 453.0), (83.0, 450.0), (88.0, 452.0), (112.0, 453.0), (131.0, 450.0), (192.0, 451.0), (200.0, 445.0), (214.0, 449.0), (229.0, 443.0), (237.0, 450.0), (258.0, 449.0), (266.0, 451.0), (277.0, 445.0), (285.0, 447.0), (298.0, 447.0), (303.0, 445.0), (317.0, 450.0), (323.0, 447.0), (338.0, 447.0), (342.0, 445.0), (357.0, 450.0), (371.0, 447.0)..."
11				"[{'type': 'polygon', 'label': 'First', 'points': [(96.0, 779.0), (72.0, 774.0), (58.0, 763.0), (48.0, 767.0), (28.0, 764.0), (14.0, 770.0), (9.0, 768.0), (1.0, 769.0), (0.0, 944.0), (4.0, 941.0), (20.0, 937.0), (24.0, 933.0), (28.0, 925.0), (28.0, 920.0), (24.0, 913.0), (26.0, 907.0), (59.0, 902.0), (82.0, 891.0), (96.0, 891.0), (108.0, 873.0), (109.0, 859.0), (116.0, 850.0), (120.0, 840.0), (116.0, 833.0), (116.0, 825.0), (108.0, 819.0), (107.0, 813.0), (114.0, 796.0)]}, {'type': 'polygon', 'la..."
12				"[{'type': 'polygon', 'label': 'First', 'points': [(434.0, 1190.0), (428.0, 1198.0), (425.0, 1207.0), (418.0, 1215.0), (419.0, 1233.0), (428.0, 1248.0), (433.0, 1250.0), (446.0, 1250.0), (457.0, 1257.0), (466.0, 1275.0), (473.0, 1279.0), (489.0, 1282.0), (494.0, 1287.0), (495.0, 1293.0), (513.0, 1309.0), (537.0, 1314.0), (545.0, 1311.0), (554.0, 1303.0), (562.0, 1290.0), (565.0, 1278.0), (554.0, 1268.0), (551.0, 1252.0), (535.0, 1247.0), (535.0, 1243.0), (525.0, 1225.0), (506.0, 1214.0), (482.0, ..."
13				"[{'type': 'polygon', 'label': 'First', 'points': [(124.0, 695.0), (110.0, 675.0), (89.0, 657.0), (83.0, 662.0), (82.0, 672.0), (84.0, 675.0), (82.0, 677.0), (66.0, 679.0), (55.0, 677.0), (48.0, 682.0), (36.0, 680.0), (30.0, 685.0), (3.0, 690.0), (0.0, 693.0), (0.0, 732.0), (10.0, 727.0), (25.0, 724.0), (45.0, 724.0), (52.0, 721.0), (56.0, 716.0), (67.0, 722.0), (76.0, 723.0), (80.0, 721.0), (80.0, 710.0), (84.0, 711.0), (86.0, 716.0), (100.0, 730.0), (106.0, 732.0), (111.0, 725.0), (113.0, 710.0..."

Plantations Segmentation

The images consist of aerial photography of agricultural plantations with crops such as cabbage and zucchini. The dataset addresses agricultural tasks such as plant detection and counting, health assessment, and irrigation planning. The dataset consists of plantations' photographs with object and class segmentation of cabbage.

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Dataset structure

Plantations_Segmentation - contains of original plantation images (folder img) and file with annotations (.xml)
Object_Segmentation - includes object segmentation masks for the original images
Class_Segmentation - includes class segmentation masks for the original images

Types of segmentation

The dataset includes two types of segmentation:

Class Segmentation - objects corresponding to one class are identified
Object Segmentation - all objects are identified separately

Data Format

Each image from img folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the polygons. For each point, the x and y coordinates are provided.