PhenoLeaf-TS-models

PhenoLeaf-TS — Pretrained Models

Baseline checkpoints for the PhenoLeaf-TS benchmark (ECCV 2026), trained on the PhenoLeaf-TS dataset.

Usage

from phenoleaf_ts.models import load_model           # see the GitHub repo
seg = load_model("IS-3", checkpoint="IS-3_mask_rcnn_r50.pth")
clf = load_model("CL-6", checkpoint="CL-6_swin_t.pth")

# or pull a file directly
from huggingface_hub import hf_hub_download
ckpt = hf_hub_download("basimazam/PhenoLeaf-TS-models", "IS-1_yolov11_seg.pt")

Citation

@InProceedings{saric2026phenoleafts,
  author    = {Sari\'c, Rijad and Azam, Basim and Khan, Sarmad and \v{C}ustovi\'c, Edhem},
  title     = {{PhenoLeaf-TS}: A Time-Series Benchmark for Leaf Instance Segmentation, Tracking, and Growth Stage Classification},
  booktitle = {Computer Vision -- ECCV 2026},
  year      = {2026},
  publisher = {Springer Nature Switzerland},
}