TasselNetv4

Official implementation of [TasselNetV4: A vision foundation model for cross-scene, cross-scale, and cross-species plant counting]

Paper link: https://huggingface.co/papers/2509.20857

Highlights

  • Plant agnostic counting: a new plant-orientated task customizing Class-agnostic counting into the plant domain and highlighting zero-shot generalization across taxomomic plant species;
  • PAC-105 and PAC-Somalia: two challenging PAC datasets for training and evaluating daily and out-of-distribution plant species;
  • TasselNetV4: an extended version of the TasselNet plant counting models.

Comparison with the state-of-the-art CAC approaches on the PAC-105 dataset. Best performance is in boldface.

Method Venue & Year Shot MAE↓ RMSE↓ WCA↑ $R^2$ ↑ MPE |↓| FPS
FamNet (Ranjan et al., 2021) CVPR'21 3 31.70 62.58 0.49 0.56 0.24 89.65
BMNet+ (Shi et al., 2022) CVPR'22 3 27.03 60.18 0.56 0.61 0.02 43.08
SPDCNet (Lin et al., 2022) BMVC'22 3 25.21 49.98 0.58 0.92 0.21 155.84
SAFECount (You et al., 2023) WACV'23 3 25.59 52.09 0.58 0.91 0.04 118.55
CountTR (Liu et al., 2022) BMVC'22 3 25.25 49.31 0.63 0.92 0.12 112.46
T-Rex2 (Jiang et al., 2025) ECCV'24 3 26.04 49.31 0.58 0.92 -0.13 \
CACViT (Wang et al., 2024b) AAAI'24 3 19.51 29.59 0.68 0.89 0.29 89.65
TasselNetV4 (Ours) This Paper 3 16.04 28.03 0.74 0.92 -0.05 121.62
FamNet (Ranjan et al., 2021) CVPR'21 1 35.91±0.966 71.78±1.188 0.42±0.014 0.45±0.024 0.57±0.017 \
BMNet (Shi et al., 2022) CVPR'22 1 28.78±0.324 62.12±0.437 0.15±0.001 0.59±0.008 0.13±0.006 \
CountTR (Liu et al., 2022) BMVC'22 1 28.46±0.226 49.84±0.646 0.70±0.037 0.73±0.006 0.11±0.003 \
CACViT (Wang et al., 2024b) AAAI'24 1 21.80±0.429 38.40±1.526 0.64±0.005 0.84±0.013 0.29±0.002 \
TasselNetV4 (Ours) This Paper 1 18.04±0.339 32.04±1.213 0.71±0.005 0.90±0.009 0.02±0.000 \

Comparison with the state-of-the-art CAC approaches on the PAC-Somalia dataset. Best performance is in boldface.

Method Venue & Year Shot MAE↓ RMSE↓ WCA↑ $R^2$ ↑ MPE |↓|
CountTR (Liu et al., 2022) BMVC'22 3 12.71 23.87 0.38 0.57 0.27
CACViT (Wang et al., 2024b) AAAI'24 3 14.00 17.00 0.55 0.78 0.80
TasselNetV4 (Ours) This Paper 3 8.88 13.11 0.72 0.87 0.32
CountTR (Liu et al., 2022) BMVC'22 1 12.79±0.076 24.20±0.292 0.37±0.005 0.55±0.012 0.23±0.062
CACViT (Wang et al., 2024b) AAAI'24 1 14.74±0.138 18.23±0.446 0.53±0.005 0.75±0.012 0.80±0.008
TasselNetV4 (Ours) This Paper 1 10.98±0.065 16.73±0.150 0.65±0.000 0.80±0.005 0.42±0.001

Visualization

visualization

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for akaxiao/TasselNetV4