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README.md

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+---
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-segmentation
+- image-classification
+tags:
+- weed
+- agriculture
+- segmentation
+- semantic-segmentation
+- height-estimation
+- regression
+- growth-stage
+- multi-task-learning
+- weedsense
+- precision-agriculture
+- plant-phenotyping
+- temporal
+pretty_name: "WeedSense: Multi-Task Weed Analysis Dataset"
+size_categories:
+- 100K<n<1M
+---
+
+# WeedSense Dataset
+
+Multi-task temporal dataset of **16 weed species** for semantic segmentation, height regression, and growth stage classification from the **WeedSense** paper:
+
+> **WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification**
+> Toqi Tahamid Sarker, Khaled R Ahmed, Taminul Islam, Cristiana Bernardi Rankrape, Karla Gage
+> Southern Illinois University Carbondale, USA
+> **ICCV 2025**
+>
+> [Paper (arXiv)](https://arxiv.org/abs/2508.14486) | [Project Page](https://weedsense.github.io/) | [Code](https://github.com/toqitahamid/WeedSense)
+
+## Overview
+
+| Property | Value |
+|---|---|
+| Total frames | **120,341** |
+| Weed species | **16** |
+| Growth duration | **11 weeks** |
+| Total videos | **349** |
+| Frame resolution | **720 x 960 pixels** |
+| Annotation types | **Segmentation masks, Height (cm), Growth stage (week)** |
+| Semantic classes | **17** (16 species + background) |
+| Height range | **0.2 - 155 cm** |
+
+## Data Splits
+
+| Split | Images | Percentage |
+|---|---|---|
+| Train | 96,134 | ~80% |
+| Validation | 12,333 | ~10% |
+| Test | 11,874 | ~10% |
+
+## Folder Structure
+
+Large folders are distributed as **zip archives** (HF enforces a 10,000-file-per-directory limit).
+
+```
+train/
+  images.zip              # RGB images (720 x 960) as .jpg
+  masks.zip               # Segmentation masks (single-channel, class IDs 0-16) as .png
+  mmseg_masks.zip         # Segmentation masks formatted for MMSegmentation as .png
+  xml.zip                 # VOC-format bounding box annotations as .xml
+  train_data.csv          # Metadata: img, species, height, week
+val/
+  images.zip
+  masks.zip
+  mmseg_masks.zip
+  xml.zip
+  val_data.csv
+test/
+  images.zip
+  masks.zip
+  mmseg_masks.zip
+  xml.zip
+  test_data.csv
+```
+
+### After Extracting
+
+Each zip extracts into a flat list of files. For example, `train/images.zip` contains:
+```
+ABUTH_week_10_IMG_1656_frame_0.jpg
+ABUTH_week_10_IMG_1656_frame_1.jpg
+SETFA_week_8_IMG_1344_frame_13.jpg
+...
+```
+
+### File Naming Convention
+
+All files follow the pattern: `{SPECIES}_week_{WEEK}_IMG_{VIDEO_ID}_frame_{FRAME}.{ext}`
+
+Example: `SETFA_week_8_IMG_1344_frame_13.jpg`
+
+### CSV Metadata
+
+Each split CSV contains columns:
+
+| Column | Type | Description |
+|---|---|---|
+| `img` | string | Image filename (e.g., `ABUTH_week_10_IMG_1656_frame_0.jpg`) |
+| `species` | string | Weed species EPPO code (e.g., `ABUTH`, `SETFA`) |
+| `height` | float | Plant height in centimeters (0.2 - 155.0 cm) |
+| `week` | int | Growth stage week (1 - 11) |
+
+### Segmentation Mask Values
+
+| Pixel Value | Class |
+|---|---|
+| 0 | Background |
+| 1 | ABUTH (Velvetleaf) |
+| 2 | AMAPA (Palmer Amaranth) |
+| 3 | AMARE (Redroot Pigweed) |
+| 4 | AMATA / AMATU (Tall Waterhemp) |
+| 5 | AMBEL (Common Ragweed) |
+| 6 | CHEAL (Common Lambsquarters) |
+| 7 | CYPES (Yellow Nutsedge) |
+| 8 | DIGSA (Large Crabgrass) |
+| 9 | ECHCG (Barnyardgrass) |
+| 10 | ERICA (Horseweed) |
+| 11 | PANDI (Fall Panicum) |
+| 12 | SETFA (Giant Foxtail) |
+| 13 | SETPU (Yellow Foxtail) |
+| 14 | SIDSP (Prickly Sida) |
+| 15 | SORHA (Johnsongrass) |
+| 16 | SORVU (Shattercane) |
+
+## Weed Species Summary
+
+| EPPO Code | Scientific Name | Max Height (cm) | Growth Rate (cm/week) | Category |
+|---|---|---|---|---|
+| AMATU | *Amaranthus tuberculatus* | 155.0 | 13.72 | Fast |
+| SORHA | *Sorghum halepense* | 121.0 | 14.06 | Fast |
+| SETFA | *Setaria faberi* | 124.0 | 11.75 | Fast |
+| SORVU | *Sorghum bicolor* | 100.0 | 9.84 | Medium |
+| PANDI | *Panicum dichotomiflorum* | 87.0 | 8.40 | Medium |
+| SETPU | *Setaria pumila* | 99.0 | 8.20 | Medium |
+| DIGSA | *Digitaria sanguinalis* | 77.0 | 7.53 | Medium |
+| ECHCG | *Echinochloa crus-galli* | 80.0 | 7.38 | Medium |
+| SIDSP | *Sida spinosa* | 69.0 | 6.77 | Medium |
+| AMARE | *Amaranthus retroflexus* | 75.0 | 6.86 | Medium |
+| ABUTH | *Abutilon theophrasti* | 72.0 | 6.32 | Medium |
+| AMBEL | *Ambrosia artemisiifolia* | 71.0 | 6.19 | Medium |
+| AMAPA | *Amaranthus palmeri* | 62.0 | 5.66 | Slow |
+| CYPES | *Cyperus esculentus* | 56.0 | 5.42 | Slow |
+| CHEAL | *Chenopodium album* | 30.0 | 2.86 | Slow |
+| ERICA | *Erigeron canadensis* | 17.3 | 1.70 | Slow |
+
+## Data Collection
+
+- **Location**: SIU Horticulture Research Center greenhouse, Southern Illinois University Carbondale, USA
+- **Equipment**: iPhone 15 Pro Max positioned 1.5 feet above specimens
+- **Capture**: 360-degree video at 1440 x 1920 resolution, 30 FPS
+- **Environment**: 1000W HPS grow lights, 30-32 degree C
+- **Preprocessing**: Temporal downsampling (every 2nd frame), spatial downscaling to 720 x 960
+- **Annotation**: SAM2-Hiera-L semi-automatic segmentation with manual verification and correction
+- **Height**: 325 manual weekly measurements (0.2 - 155 cm)
+
+## Benchmark Results (WeedSense Model)
+
+| Task | Metric | Value |
+|---|---|---|
+| Segmentation | mIoU | 89.78% |
+| Segmentation | mF1 | 94.54% |
+| Height Estimation | MAE | 1.67 cm |
+| Height Estimation | RMSE | 2.32 cm |
+| Height Estimation | R squared | 0.9941 |
+| Growth Stage | Accuracy | 99.99% |
+| Growth Stage | F1 | 99.99% |
+
+## Usage
+
+```python
+from huggingface_hub import snapshot_download, hf_hub_download
+import zipfile, os
+
+# Download entire dataset
+local_dir = snapshot_download(repo_id="baselab/weedsense", repo_type="dataset")
+
+# Extract a zip file
+with zipfile.ZipFile(os.path.join(local_dir, "train", "images.zip"), "r") as z:
+    z.extractall(os.path.join(local_dir, "train", "images"))
+
+# Load metadata
+import pandas as pd
+train_csv = hf_hub_download(
+    repo_id="baselab/weedsense",
+    repo_type="dataset",
+    filename="train/train_data.csv",
+)
+df = pd.read_csv(train_csv)
+print(df.head())
+#                                        img species  height  week
+# 0  ABUTH_week_10_IMG_1656_frame_0.jpg   ABUTH    50.0    10
+# 1  ABUTH_week_10_IMG_1656_frame_1.jpg   ABUTH    50.0    10
+```
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@inproceedings{sarker2025weedsense,
+  title={Weedsense: Multi-task learning for weed segmentation, height estimation, and growth stage classification},
+  author={Sarker, Toqi Tahamid and Ahmed, Khaled R and Islam, Taminul and Rankrape, Cristiana Bernardi and Gage, Karla},
+  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
+  pages={7180--7190},
+  year={2025}
+}
+```
+
+## License
+
+This dataset is released under the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license. Commercial use is not permitted. Derivative works must use the same license.