Update README.md

README.md

@@ -12,8 +12,8 @@ dataset_info:
       list:
         class_label:
           names:
-            '0': '0'
-            '1': '1'
+            '0': green
+            '1': red
   splits:
   - name: train
     num_bytes: 3522691102
@@ -25,4 +25,31 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- object-detection
+size_categories:
+- n<1K
 ---
+
+# Tomato Factory Detection
+
+A dataset for detection of tomatoes in a plant factory setting. The dataset contains 520 images with 8,223 bounding box annotations across 2 categories.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{wu2023dataset,
+  title={A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories},
+  author={Wu, Zhen-wei and Liu, Ming-hao and Sun, Cheng-xiu and Wang, Xin-fa},
+  journal={Data in Brief},
+  volume={48},
+  pages={109291},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+Wu, Zhenwei; Wang, Xinfa; Liu, Minghao; Sun, Chengxiu (2026), “TomatoPlantfactoryDataset”, Mendeley Data, V3, doi: 10.17632/8h3s6jkyff.3