Add files using upload-large-folder tool

plantdoc-v3/README.dataset.txt

@@ -0,0 +1,50 @@
+# PlantDoc > raw
+https://universe.roboflow.com/joseph-nelson/plantdoc
+
+Provided by [Singh et. al 2019](https://arxiv.org/pdf/1911.10317.pdf)
+License: CC BY 4.0
+
+# Overview
+
+The PlantDoc dataset was originally published by researchers at the Indian Institute of Technology, and described in depth in [their paper](https://arxiv.org/pdf/1911.10317.pdf). One of the paper’s authors, Pratik Kayal, shared the object detection dataset available [on GitHub](https://github.com/pratikkayal/PlantDoc-Dataset).
+
+ PlantDoc is a dataset of 2,569 images across 13 plant species and 30 classes (diseased and healthy) for image classification and object detection. There are 8,851 labels. Read more about how the version available on Roboflow improves on the original version [here](https://blog.roboflow.ai/introducing-an-improved-plantdoc-dataset-for-plant-disease-object-detection/).
+
+And here's an example image:
+
+![Tomato Blight](https://i.imgur.com/fGlQ0kG.png)
+
+`Fork` this dataset (upper right hand corner) to receive the raw images, or (to save space) grab the 416x416 export.
+
+# Use Cases
+
+As the researchers from IIT stated in their paper, “plant diseases alone cost the global economy around US$220 billion annually.” Training models to recognize plant diseases earlier dramatically increases yield potential.
+
+The dataset also serves as a useful open dataset for benchmarks. The researchers trained both object detection models like MobileNet and Faster-RCNN and image classification models like VGG16, InceptionV3, and InceptionResnet V2.
+
+The dataset is useful for advancing general agriculture computer vision tasks, whether that be health crop classification, plant disease classification, or plant disease objection. 
+
+# Using this Dataset
+
+This dataset follows [Creative Commons 4.0 protocol](https://creativecommons.org/licenses/by/4.0/). You may use it commercially without Liability, Trademark use, Patent use, or Warranty.
+
+Provide the following citation for the original authors:
+
+```
+@misc{singh2019plantdoc,
+    title={PlantDoc: A Dataset for Visual Plant Disease Detection},
+    author={Davinder Singh and Naman Jain and Pranjali Jain and Pratik Kayal and Sudhakar Kumawat and Nipun Batra},
+    year={2019},
+    eprint={1911.10317},
+    archivePrefix={arXiv},
+    primaryClass={cs.CV}
+}
+```
+
+# About Roboflow
+
+[Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.
+
+Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.
+
+#### [![Roboflow Workmark](https://i.imgur.com/WHFqYSJ.png =350x)](https://roboflow.ai)

plantdoc-v3/README.roboflow.txt

@@ -0,0 +1,27 @@
+
+PlantDoc - v3 raw
+==============================
+
+This dataset was exported via roboflow.com on January 18, 2023 at 1:14 PM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 2569 images.
+Leaves are annotated in YOLOv8 format.
+
+The following pre-processing was applied to each image:
+
+No image augmentation techniques were applied.
+
+

plantdoc-v3/data.yaml

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+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 30
+names: ['Apple Scab Leaf', 'Apple leaf', 'Apple rust leaf', 'Bell_pepper leaf spot', 'Bell_pepper leaf', 'Blueberry leaf', 'Cherry leaf', 'Corn Gray leaf spot', 'Corn leaf blight', 'Corn rust leaf', 'Peach leaf', 'Potato leaf early blight', 'Potato leaf late blight', 'Potato leaf', 'Raspberry leaf', 'Soyabean leaf', 'Soybean leaf', 'Squash Powdery mildew leaf', 'Strawberry leaf', 'Tomato Early blight leaf', 'Tomato Septoria leaf spot', 'Tomato leaf bacterial spot', 'Tomato leaf late blight', 'Tomato leaf mosaic virus', 'Tomato leaf yellow virus', 'Tomato leaf', 'Tomato mold leaf', 'Tomato two spotted spider mites leaf', 'grape leaf black rot', 'grape leaf']
+
+roboflow:
+  workspace: joseph-nelson
+  project: plantdoc
+  version: 3
+  license: CC BY 4.0
+  url: https://universe.roboflow.com/joseph-nelson/plantdoc/dataset/3

plantdoc-v3/test/labels/5496239405_d95bdb97d1_z_jpg.rf.95f7a3c2b58027f4d226a1d0a294491f.txt

@@ -0,0 +1 @@
+9 0.5078125 0.5333333333333333 0.98125 0.9333333333333333

plantdoc-v3/test/labels/55830b60a7cf2_image_jpg.rf.ffbcbdfb2811e34cb6e2fedaa2d205da.txt

@@ -0,0 +1,3 @@
+20 0.3226768968456948 0.20696489241223104 0.4032395566922421 0.18742921857304642
+20 0.782608695652174 0.25 0.43137254901960786 0.2599093997734994
+20 0.35720375106564367 0.543035107587769 0.3938618925831202 0.5209513023782559

plantdoc-v3/test/labels/5816740026_d42ef24413_Phytophthora-Infestans_jpg.rf.0b6e7ab56b58be522df79c290bfe9d76.txt

@@ -0,0 +1 @@
+13 0.493993993993994 0.568 0.5135135135135135 0.692

plantdoc-v3/test/labels/6134794031202304_jpeg_jpg.rf.491ff1794fbb0df0bb65e3fc55d43f3a.txt

@@ -0,0 +1 @@
+20 0.3591666666666667 0.544375 0.515 0.58125

plantdoc-v3/test/labels/636227737977191231-septoria-leaf-spot-VT_jpg.rf.76ff591c1f5907fa87223cffc111f690.txt

@@ -0,0 +1,4 @@
+20 0.23689138576779026 0.8728179551122195 0.29775280898876405 0.24438902743142144
+20 0.15917602996254682 0.6234413965087282 0.20599250936329588 0.5386533665835411
+20 0.797752808988764 0.5623441396508728 0.3333333333333333 0.685785536159601
+20 0.3857677902621723 0.39900249376558605 0.25842696629213485 0.33915211970074816

plantdoc-v3/test/labels/636368370164094909-late-blight-15-_jpg.rf.daa6108f9602408b9b52d3d9cb77405b.txt

@@ -0,0 +1 @@
+23 0.5861111111111111 0.4740740740740741 0.7092592592592593 0.5432098765432098

plantdoc-v3/test/labels/6447731_orig_jpg.rf.c9d0ba9d9c4912c6b4672e428cd074b8.txt

@@ -0,0 +1 @@
+20 0.475 0.45481927710843373 0.918 0.8855421686746988

plantdoc-v3/test/labels/7-17-Photo3_Septoria-MARY_jpg.rf.7d3233e0bda276bad9e72b7a16b39144.txt

@@ -0,0 +1,4 @@
+20 0.9444444444444444 0.8036211699164345 0.1111111111111111 0.33147632311977715
+20 0.10333333333333333 0.3955431754874652 0.20222222222222222 0.7743732590529248
+20 0.33111111111111113 0.6532033426183844 0.13333333333333333 0.43175487465181056
+20 0.6811111111111111 0.4428969359331476 0.46444444444444444 0.8579387186629527

plantdoc-v3/test/labels/70_jpg.rf.37260fde9a8ad8104e8c77cf4ac87faf.txt

@@ -0,0 +1 @@
+23 0.4806122448979592 0.5030487804878049 0.5122448979591837 0.9857723577235772

plantdoc-v3/test/labels/7190f27ead55c0f6e3ff8b982972810a5446a9713a49d_1260x1260_jpg.rf.5ba468a83689d0cd8115b04df0e32214.txt

@@ -0,0 +1 @@
+10 0.5213068181818182 0.5035714285714286 0.2831439393939394 0.9563492063492064

plantdoc-v3/test/labels/730-grape-leaf-2560x1600-nature-wallpaper_jpg.rf.6c697bca6b782ff71328530e26b317fe.txt

@@ -0,0 +1 @@
+28 0.5474609375 0.4940625 0.608203125 0.959375

plantdoc-v3/test/labels/80104747_jpg.rf.c6c6573ba13795f518ad3d31be05a303.txt

@@ -0,0 +1 @@
+9 0.5057096247960848 0.5007142857142857 0.9885807504078303 0.9985714285714286

plantdoc-v3/test/labels/816_jpg.rf.93778c0a202e192beb485bd675a5ea63.txt

@@ -0,0 +1,2 @@
+0 0.3333333333333333 0.38727272727272727 0.3393939393939394 0.6945454545454546
+0 0.6863636363636364 0.3890909090909091 0.31212121212121213 0.6836363636363636

plantdoc-v3/test/labels/8226402877_9abf151b5b_b_jpg.rf.1f72b510c6875a6c6319b3e5733be304.txt

@@ -0,0 +1,5 @@
+25 0.53759765625 0.8147877013177159 0.1357421875 0.23865300146412885
+25 0.47021484375 0.2591508052708638 0.1708984375 0.1259150805270864
+25 0.87060546875 0.2708638360175695 0.1923828125 0.24890190336749635
+25 0.3271484375 0.4707174231332357 0.228515625 0.24158125915080528
+25 0.6630859375 0.5161054172767203 0.1484375 0.2708638360175695

plantdoc-v3/test/labels/90e2c0_jpg.rf.a2d2988178c02780afbf25d63f51c100.txt

@@ -0,0 +1 @@
+21 0.5235 0.4204801200300075 0.579 0.7794448612153039

plantdoc-v3/test/labels/9343310-small_jpg.rf.531bc8cb2bd604e742e6c4ab34bd9118.txt

@@ -0,0 +1 @@
+2 0.5548387096774193 0.5024271844660194 0.6580645161290323 0.616504854368932

plantdoc-v3/test/labels/9511_img_jpg.rf.6141e5c230c27cb260452e30ecf71fd8.txt

@@ -0,0 +1,12 @@
+24 0.16018518518518518 0.83 0.12407407407407407 0.28
+24 0.2537037037037037 0.245 0.1111111111111111 0.1
+24 0.37592592592592594 0.32625 0.09259259259259259 0.1675
+24 0.9166666666666666 0.75875 0.1037037037037037 0.2925
+24 0.18425925925925926 0.44625 0.12777777777777777 0.1075
+24 0.15648148148148147 0.25875 0.06851851851851852 0.1425
+24 0.3611111111111111 0.445 0.13333333333333333 0.09
+24 0.29444444444444445 0.58625 0.14814814814814814 0.1325
+24 0.7675925925925926 0.29875 0.15 0.1375
+24 0.8324074074074074 0.41125 0.15 0.1375
+24 0.5990740740740741 0.59875 0.12777777777777777 0.3025
+24 0.675 0.61625 0.18703703703703703 0.2625

plantdoc-v3/test/labels/99e886623c2080c22f6519b0e708c531_jpg.rf.1740d3d9c20312c5e05e6820bcfd1555.txt

@@ -0,0 +1,2 @@
+2 0.38941176470588235 0.5897887323943662 0.36470588235294116 0.8204225352112676
+2 0.6776470588235294 0.3204225352112676 0.32941176470588235 0.6267605633802817

plantdoc-v3/test/labels/Apple-Leaf-Wallpaper-17_jpg.rf.3d7739493fc4bb5d6bd1d338c555e12a.txt

@@ -0,0 +1 @@
+1 0.535546875 0.5287037037037037 0.48671875 0.9425925925925925

plantdoc-v3/test/labels/B2750109-Late_blight_on_a_potato_plant-SPL_jpg.rf.0e2c5b206e435d5786758a6b8f2efa61.txt

@@ -0,0 +1 @@
+13 0.3961038961038961 0.495 0.5324675324675324 0.545

plantdoc-v3/test/labels/BIGSD_jpg.rf.0d9ef599b0bb930ae29f75bf2fbfed15.txt

@@ -0,0 +1,6 @@
+26 0.9244444444444444 0.35968379446640314 0.08888888888888889 0.22134387351778656
+26 0.8255555555555556 0.16600790513833993 0.09555555555555556 0.11067193675889328
+26 0.7144444444444444 0.1976284584980237 0.09555555555555556 0.11067193675889328
+26 0.72 0.32608695652173914 0.06222222222222222 0.1067193675889328
+26 0.8377777777777777 0.3300395256916996 0.09777777777777778 0.1067193675889328
+26 0.7888888888888889 0.5138339920948617 0.06666666666666667 0.1976284584980237

plantdoc-v3/test/labels/Bacterial-spot-pepper2_jpg.rf.f3a47908a0b3dadf4e3a7b3b76e23fe1.txt

@@ -0,0 +1 @@
+4 0.4841628959276018 0.4397590361445783 0.9592760180995475 0.8554216867469879

plantdoc-v3/test/labels/Bacterial_spots563_jpg.rf.6d841440bd4f82d7e94483a280e2e8a9.txt

@@ -0,0 +1 @@
+22 0.595625 0.4825 0.80875 0.875

plantdoc-v3/test/labels/Black%20rot%20on%20foliage2_jpg.rf.8c7aadcf1a23d4ac58079ce9ee1daeef.txt

@@ -0,0 +1 @@
+29 0.5415094339622641 0.48427672955974843 0.8660377358490566 0.9308176100628931

plantdoc-v3/test/labels/Black%20rot%20on%20foliage_jpg.rf.d8ae8793093b4e24005414edf6a35b75.txt

@@ -0,0 +1 @@
+29 0.4056603773584906 0.4968553459119497 0.809433962264151 0.8477987421383648

plantdoc-v3/test/labels/CMVpepperLeafShock-copy-50QUALITY-1ge8umw_jpg.rf.921d86f4e907cb4bed58e0a7e6b9e4f8.txt

@@ -0,0 +1 @@
+4 0.44152923538230887 0.597 0.34632683658170915 0.806

plantdoc-v3/test/labels/apple%20scab%20leaf_jpg.rf.dc2c4ace1439a3e15e1c47d4f77fb906.txt

@@ -0,0 +1 @@
+0 0.502092050209205 0.5 0.99581589958159 0.9949748743718593

plantdoc-v3/test/labels/apple%20scabnew_jpg.rf.cbaa37b3f8aafb0ea7ddc3210b0f1322.txt

@@ -0,0 +1 @@
+0 0.4785714285714286 0.5522959183673469 0.7122448979591837 0.5433673469387755

plantdoc-v3/test/labels/apple-leaf-14319997_jpg.rf.321e3e4c255a062bfc015714e1bc8354.txt

@@ -0,0 +1 @@
+1 0.5319230769230769 0.45826235093696766 0.933076923076923 0.7427597955706985

plantdoc-v3/test/labels/apple-leaf-9834637_jpg.rf.2f9231834debd1dc713b28caf27e8544.txt

@@ -0,0 +1 @@
+1 0.5007692307692307 0.46290491118077326 0.8507692307692307 0.5977011494252874

plantdoc-v3/test/labels/apple-leaf-closeup-37636177_jpg.rf.259dc5093581052d129b4b74f649a7e5.txt

@@ -0,0 +1 @@
+1 0.4530769230769231 0.4723092998955068 0.7046153846153846 0.8359456635318704

plantdoc-v3/test/labels/apple-leaf-isolated-white-background-56631026_jpg.rf.6e52086d0c4e2a51ec9a81fc137a65f0.txt

@@ -0,0 +1 @@
+1 0.490625 0.5122832369942196 0.67125 0.8164739884393064

plantdoc-v3/test/labels/apple-scab-5366820_jpg.rf.0b0ba6f1e7ca6a31ca31a40f234db915.txt

@@ -0,0 +1 @@
+0 0.5293478260869565 0.5844504021447721 0.758695652173913 0.49865951742627346

plantdoc-v3/test/labels/apples_apple-scab_01_zoom_jpg.rf.f25b6f84f295687ecb89050ae6ff5b83.txt

@@ -0,0 +1,2 @@
+0 0.5583333333333333 0.5122832369942196 0.7077777777777777 0.6517341040462428
+0 0.1638888888888889 0.5115606936416185 0.20333333333333334 0.8497109826589595

plantdoc-v3/test/labels/apples_apple-scab_02_thm_jpg.rf.19951f1b5c70d5931154f4462603bb86.txt

@@ -0,0 +1 @@
+0 0.5652173913043478 0.5058823529411764 0.8347826086956521 0.9882352941176471

plantdoc-v3/test/labels/apples_apple-scab_10_zoom_jpg.rf.50f7527035b7c33f4ea9c2fa617044c0.txt

@@ -0,0 +1 @@
+0 0.6583333333333333 0.49333333333333335 0.6833333333333333 0.9748148148148148

plantdoc-v3/test/labels/backus-056-potato-blight_jpg.rf.d9595f661e4afca7d4d71286f7f23752.txt

@@ -0,0 +1,4 @@
+12 0.7011938202247191 0.6605805243445693 0.5014044943820225 0.5262172284644194
+12 0.4002808988764045 0.2226123595505618 0.2907303370786517 0.3796816479400749
+12 0.2129564606741573 0.5400280898876404 0.2735252808988764 0.33286516853932585
+12 0.3497191011235955 0.6849250936329588 0.21207865168539325 0.4691011235955056

plantdoc-v3/test/labels/bact-spot-fig-1_jpg.rf.f4d2d1b9c097b986053c841a14518cd5.txt

@@ -0,0 +1 @@
+22 0.47797716150081565 0.4339045287637699 0.8711256117455138 0.5397796817625459

plantdoc-v3/test/labels/bacterial_leaf_spot_pepper_l_jpg.rf.b29ba40ff0d93446de3c0e9affd206fc.txt

@@ -0,0 +1 @@
+4 0.47 0.45666666666666667 0.93 0.7266666666666667

plantdoc-v3/test/labels/black_leaf_mold_in_zina_tina_jpg.rf.de34cb2263df24f3f26dc569ad7e8dac.txt

@@ -0,0 +1,3 @@
+26 0.9327777777777778 0.44814814814814813 0.13444444444444445 0.44
+26 0.3477777777777778 0.47333333333333333 0.3 0.34814814814814815
+26 0.6844444444444444 0.28888888888888886 0.20444444444444446 0.5511111111111111

plantdoc-v3/test/labels/blueberry-leaves-normal-above-and-iron-deficient-below-bgahf8_jpg.rf.3f907fda8abbcfd366a79441e3545214.txt

@@ -0,0 +1 @@
+5 0.5717948717948718 0.2537037037037037 0.764102564102564 0.3333333333333333

plantdoc-v3/test/labels/blueberrysilverleaf16-1372b_jpg.rf.dd9420eacdab2ca11444bf55d2f3c3b4.txt

@@ -0,0 +1,2 @@
+5 0.23185265438786565 0.5237068965517241 0.38894907908992415 0.8663793103448276
+5 0.7128927410617552 0.5 0.5016251354279523 0.9727011494252874

plantdoc-v3/test/labels/brleaf2_zoom_jpg.rf.5826d6fa25543606f58b0210090654d4.txt

@@ -0,0 +1 @@
+29 0.5027777777777778 0.48592592592592593 0.6677777777777778 0.96

plantdoc-v3/test/labels/bugs-and-blight-061_jpg.rf.abf21d6d5b851a29b487bb694e347ba2.txt

@@ -0,0 +1,4 @@
+19 0.43478260869565216 0.7148033126293996 0.18090062111801242 0.28778467908902694
+19 0.6026785714285714 0.5424430641821946 0.12616459627329193 0.2991718426501035
+19 0.4439052795031056 0.47696687370600416 0.14324534161490685 0.13612836438923395
+19 0.4644798136645963 0.3558488612836439 0.16032608695652173 0.11024844720496894

plantdoc/README.dataset.txt

@@ -0,0 +1,50 @@
+# PlantDoc > 2023-02-10 1:20pm
+https://universe.roboflow.com/joseph-nelson/plantdoc
+
+Provided by [Singh et. al 2019](https://arxiv.org/pdf/1911.10317.pdf)
+License: CC BY 4.0
+
+# Overview
+
+The PlantDoc dataset was originally published by researchers at the Indian Institute of Technology, and described in depth in [their paper](https://arxiv.org/pdf/1911.10317.pdf). One of the paper’s authors, Pratik Kayal, shared the object detection dataset available [on GitHub](https://github.com/pratikkayal/PlantDoc-Dataset).
+
+ PlantDoc is a dataset of 2,569 images across 13 plant species and 30 classes (diseased and healthy) for image classification and object detection. There are 8,851 labels. Read more about how the version available on Roboflow improves on the original version [here](https://blog.roboflow.ai/introducing-an-improved-plantdoc-dataset-for-plant-disease-object-detection/).
+
+And here's an example image:
+
+![Tomato Blight](https://i.imgur.com/fGlQ0kG.png)
+
+`Fork` this dataset (upper right hand corner) to receive the raw images, or (to save space) grab the 416x416 export.
+
+# Use Cases
+
+As the researchers from IIT stated in their paper, “plant diseases alone cost the global economy around US$220 billion annually.” Training models to recognize plant diseases earlier dramatically increases yield potential.
+
+The dataset also serves as a useful open dataset for benchmarks. The researchers trained both object detection models like MobileNet and Faster-RCNN and image classification models like VGG16, InceptionV3, and InceptionResnet V2.
+
+The dataset is useful for advancing general agriculture computer vision tasks, whether that be health crop classification, plant disease classification, or plant disease objection. 
+
+# Using this Dataset
+
+This dataset follows [Creative Commons 4.0 protocol](https://creativecommons.org/licenses/by/4.0/). You may use it commercially without Liability, Trademark use, Patent use, or Warranty.
+
+Provide the following citation for the original authors:
+
+```
+@misc{singh2019plantdoc,
+    title={PlantDoc: A Dataset for Visual Plant Disease Detection},
+    author={Davinder Singh and Naman Jain and Pranjali Jain and Pratik Kayal and Sudhakar Kumawat and Nipun Batra},
+    year={2019},
+    eprint={1911.10317},
+    archivePrefix={arXiv},
+    primaryClass={cs.CV}
+}
+```
+
+# About Roboflow
+
+[Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.
+
+Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.
+
+#### [![Roboflow Workmark](https://i.imgur.com/WHFqYSJ.png =350x)](https://roboflow.ai)

plantdoc/README.roboflow.txt

@@ -0,0 +1,27 @@
+
+PlantDoc - v4 2023-02-10 1:20pm
+==============================
+
+This dataset was exported via roboflow.com on February 13, 2023 at 1:17 PM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 2569 images.
+Leaves are annotated in YOLOv8 format.
+
+The following pre-processing was applied to each image:
+
+No image augmentation techniques were applied.
+
+

plantdoc/data.yaml

@@ -0,0 +1,13 @@
+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 30
+names: ['Apple Scab Leaf', 'Apple leaf', 'Apple rust leaf', 'Bell_pepper leaf spot', 'Bell_pepper leaf', 'Blueberry leaf', 'Cherry leaf', 'Corn Gray leaf spot', 'Corn leaf blight', 'Corn rust leaf', 'Peach leaf', 'Potato leaf early blight', 'Potato leaf late blight', 'Potato leaf', 'Raspberry leaf', 'Soyabean leaf', 'Soybean leaf', 'Squash Powdery mildew leaf', 'Strawberry leaf', 'Tomato Early blight leaf', 'Tomato Septoria leaf spot', 'Tomato leaf bacterial spot', 'Tomato leaf late blight', 'Tomato leaf mosaic virus', 'Tomato leaf yellow virus', 'Tomato leaf', 'Tomato mold leaf', 'Tomato two spotted spider mites leaf', 'grape leaf black rot', 'grape leaf']
+
+roboflow:
+  workspace: joseph-nelson
+  project: plantdoc
+  version: 4
+  license: CC BY 4.0
+  url: https://universe.roboflow.com/joseph-nelson/plantdoc/dataset/4