Dataset Viewer
image
imagewidth (px) 115
4.32k
| mask
imagewidth (px) 115
4.32k
| image_id
stringlengths 6
161
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int32 115
4.32k
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int32 85
3.89k
| num_annotations
int32 1
34
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b-speck.jpg
| 1,920 | 1,440 | 12 |
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late-blight-fungicides.jpg
| 2,400 | 1,800 | 12 |
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tomato-septoria-leaf-spot-.jpg
| 593 | 261 | 8 |
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5516100468998144.jpeg.jpg
| 600 | 800 | 12 |
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IMG_2348.jpg
| 2,448 | 3,264 | 10 |
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droppedImage_3-1.jpg
| 800 | 602 | 8 |
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dahliaviralsymptoms2lowresjpg.jpg
| 410 | 307 | 4 |
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5516100468998144-600x272.jpeg.jpg
| 600 | 272 | 8 |
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1422_0.jpeg.jpg
| 640 | 480 | 9 |
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lb_leaf_lesions3x1200.jpg
| 1,200 | 900 | 7 |
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tomato-septoria-leaf-spot.jpg
| 150 | 150 | 1 |
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r_tomato.jpg
| 288 | 198 | 8 |
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depositphotos_120361722-stock-photo-tomato-leaf-closeup.jpg
| 1,024 | 720 | 1 |
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alter_cank2-150x150.jpg
| 150 | 150 | 2 |
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IMG_1261.jpg
| 1,600 | 1,200 | 8 |
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Tomato-early-blight_1_1-12wmver.jpg
| 813 | 576 | 8 |
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Bacterial-speck-tomato-leaves.jpg
| 221 | 384 | 1 |
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4-6%20Keep%20bacterial%20diseasesMARY%20-%20D.jpg
| 288 | 195 | 7 |
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Fig.%2016_opt.jpg
| 1,956 | 2,737 | 9 |
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septoria-leaf-spot-tomatoes2x2400-202yoxg.jpg
| 2,400 | 2,285 | 17 |
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bac-spot.jpg
| 788 | 597 | 10 |
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IN0335.jpg
| 350 | 272 | 2 |
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IMG_3175.jpg
| 1,000 | 667 | 10 |
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MPC105550.jpg.rendition.largest.ss.jpg
| 300 | 300 | 9 |
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yellowing.JPG.jpg
| 295 | 320 | 7 |
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leaf_mold_tomato7x1200.jpg
| 1,200 | 1,126 | 6 |
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23600077_1572609202782510_2145699867_o.jpg
| 1,440 | 1,920 | 15 |
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tomato-late-blight-phytophthora-infestans-lesions-on-greenhouse-grown-ATA11J.jpg
| 1,104 | 1,390 | 9 |
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1576389-early%20blight%20symptoms.jpg
| 382 | 261 | 1 |
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8.--Virus-Damaged-foliage-at-top-versus-healthy,-non-infected-bottom-foliage.jpg
| 1,800 | 1,200 | 8 |
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septoria_tomato.jpg
| 1,200 | 881 | 2 |
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lateblight2.jpg
| 800 | 600 | 3 |
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TC6-300x194.jpg
| 300 | 194 | 7 |
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tomato-blight-soil-treatment-early-tomato-blight-in-a-microcosm-lower-leaves-curl-up-and-die-bulls-eye-lesions-tomato-fungus-soil-treatment.jpg
| 1,063 | 734 | 5 |
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Pest2369.jpg
| 600 | 600 | 2 |
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tomato-yellow-leaf-curl-disease.jpg
| 798 | 605 | 10 |
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tlcv-tomato-leaf-curl-virus-symptoms-on-a-glasshouse-tomato-plant-bmyh62.jpg
| 510 | 540 | 10 |
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GIVXB.jpg
| 800 | 600 | 11 |
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ab40cce958c60d8b6e0ec2e4fdb8f526.jpg
| 300 | 321 | 1 |
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Basil%2Binfected%2Bby%2BTomato%2BSpotted%2BWilt%2BVirus.jpg
| 1,024 | 682 | 6 |
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bac_spot1-300x298.jpg
| 300 | 298 | 2 |
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DSCN1016.JPG.jpg
| 1,600 | 1,200 | 8 |
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halleck_tomato_earlyblight__inline-half.jpg
| 303 | 296 | 8 |
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2373320.jpg
| 450 | 325 | 5 |
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early-blight-or-target-spot-alternaria-solani-lesions-on-a-tomato-BH3TH0.jpg
| 1,083 | 1,390 | 8 |
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lbleaf.jpg
| 500 | 375 | 12 |
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6078710516023296.jpeg.jpg
| 600 | 800 | 6 |
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IMG_2686.JPG.jpg
| 1,600 | 1,200 | 10 |
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tomato-yellow-leaf-curl-disease-260nw-1072448252.jpg
| 347 | 280 | 9 |
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23601051_1572608349449262_2029169498_o.jpg
| 1,440 | 1,920 | 10 |
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tomato-leaf-spot-septoria-lycopersici-on-a-tomato-leaflet-acg9j5.jpg
| 446 | 540 | 4 |
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Septoria_tomato_Margaret%20B_p8170755_0002_25004.jpg
| 600 | 400 | 8 |
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23633262_1572609386115825_1396180255_o.jpg
| 1,440 | 1,920 | 7 |
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Bacterial+Spot+-+Tomatoes.jpg
| 319 | 225 | 1 |
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late-blight-phytophthora-infestans-damage-to-tomato-leaves-and-fruit-cmnxnf.jpg
| 513 | 540 | 5 |
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1c421500ddd390c90596ad2cf12d5429.jpg
| 240 | 208 | 8 |
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tomato_early-blight_02_zoom.jpg
| 900 | 675 | 6 |
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tomato-yellow-leaf-curl-virus-tylcv_950983.jpg
| 620 | 273 | 7 |
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Sept9-300x225.jpg
| 300 | 225 | 7 |
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12July_mwnews_3-C.jpg
| 330 | 219 | 9 |
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29994445671_b6914b44d0_b.jpg
| 1,024 | 731 | 9 |
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tomato-septoria-5-500x384.jpg
| 500 | 384 | 6 |
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Tomato-Late-BlightBM.jpg
| 2,500 | 1,660 | 7 |
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5579e3247db73.image.jpg
| 300 | 400 | 7 |
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5008922249_880e15c21f.jpg
| 394 | 486 | 1 |
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20020531-early%20blight%20%20starts%20on%20lower%20leaves.jpg
| 498 | 312 | 9 |
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tomato_septoria_05_zoom.jpg
| 900 | 598 | 8 |
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septoria-leaf-spot-tomato-1.jpg
| 300 | 200 | 7 |
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p1020076cs.jpg
| 1,235 | 1,051 | 8 |
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early+blight+on+leaf+yel+halo+IMG_2313.JPG.jpg
| 898 | 1,600 | 7 |
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late_blight_tomato_leaf_sporex1200.jpg
| 1,200 | 900 | 3 |
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p1020084s.jpg
| 800 | 600 | 8 |
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tomato-diseases-1-638.jpg
| 638 | 479 | 7 |
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Tom_Sept1.jpg
| 400 | 267 | 10 |
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Bacterial_spots562.jpg
| 800 | 600 | 13 |
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gray-mold-on-tomato-leaf.jpg
| 224 | 209 | 9 |
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late_blight_tomato_leaf_.jpg
| 1,200 | 900 | 6 |
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tomato-disease-septoria-leaf-spot-d7e1xm.jpg
| 450 | 320 | 6 |
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d41c86a650e49b8066d6b347d8e9d3ad.jpg
| 205 | 216 | 7 |
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5315825271570432.jpeg.jpg
| 600 | 800 | 6 |
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BlackLeafMold2.jpg
| 267 | 189 | 6 |
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8227475116_0d40e8f21c_b.jpg
| 683 | 1,024 | 9 |
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clothes014.jpg
| 800 | 600 | 11 |
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tomato-plant-is-infected-with-septoria-leaf-spot-1.jpg
| 720 | 720 | 8 |
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66e7583ebe11cf0bd06435e4167bd4fd.jpg
| 590 | 443 | 3 |
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bnX8Q.jpg
| 480 | 320 | 8 |
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59380.jpg
| 500 | 297 | 2 |
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5Tomato+Mosaic+Virus.jpg
| 213 | 320 | 6 |
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tomato-yellow-closeup-4.jpg
| 500 | 375 | 8 |
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septoria+tomato.jpg
| 600 | 367 | 7 |
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tomato-septoria-leaf-spot-600.jpg
| 480 | 480 | 3 |
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tomato-leaf-26180166.jpg
| 1,300 | 1,003 | 1 |
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tomato-septoria-leaf-spot--.jpg
| 1,200 | 900 | 10 |
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mortgage-lifter-yellow-leaves-2.jpg
| 968 | 1,296 | 7 |
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FS547-6-big.jpg
| 640 | 517 | 1 |
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Tomato%20bacterial%20canker.JPG.jpg
| 1,024 | 768 | 9 |
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Leafspotx450xBugwood.jpg
| 450 | 210 | 2 |
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top-leaf-mold-Fulva-fulvea-WN.jpg
| 800 | 525 | 6 |
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tomato-blight-phytophthora-infestans-early-stages-on-tomato-plant-b5n952.jpg
| 347 | 540 | 8 |
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118A_Tom_Late.jpg
| 400 | 270 | 3 |
End of preview. Expand
in Data Studio
In_the_Wild_masks600
This is a dataset of "in-the-wild" leaf images with segmentation masks generated by the Segment Anything 2 (SAM 2) model.
Dataset Description
This dataset contains multi-leaf, "in-the-wild" images of plants. The segmentation masks were automatically generated using the SAM2AutomaticMaskGenerator and then processed to create a final binary mask for each image, highlighting the most prominent leaf structures. This dataset is intended for training and evaluating robust, automatic leaf segmentation models.
Features
image: The original RGB image.mask: The binary, single-channel (grayscale) segmentation mask generated by SAM 2.image_id: The original filename of the image.width: The original width of the image.height: The original height of the image.num_annotations: The number of distinct leaf regions found in the mask, calculated via contour detection.
Dataset Structure
The dataset consists of 641 image-mask pairs.
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