Our aerial forestry dataset (ForestSeg-T1) is a valuable resource comprising 1,832 high-resolution UAV images captured over the Vietnam National University of Forestry in Chuong My District, Hanoi. The dataset was collected through multiple drone surveys conducted at varying altitudes between 70m and 211m, enabling both detailed imagery and broad coverage of forested areas.
The dataset includes key flight parameters such as altitude, image resolution, and total coverage area. Two drone models were used: DJI Phantom 4 RTK (5472 × 3648 px) and DJI Air 3 (8064 × 6048 px), with each flight covering between 7.1 and 24.5 hectares. Images contain between 1 to 17 annotated tree instances, most commonly 8 to 9 trees per image, reflecting moderate forest density.
ForestSeg-T1 supports a wide range of applications, including forest monitoring, land cover classification, biomass estimation, and environmental change detection. The manually annotated tree crowns ensure high-quality ground truth for instance segmentation tasks, mimicking human perception. Unlike other datasets, ForestSeg‐T1 incorporates multi-seasonal imagery, making it particularly suitable for long-term forest analysis.
The pictures in the dataset are taken in Hanoi, Vietnam in 2023.
Some pictures of our dataset are shown below:
Method | Number of Parameters (M) | Inference Time (ms) | AP | AP50 | AP70 |
---|---|---|---|---|---|
Mask-RCNN (ResNet-50) | 43.05 | 8.3 | 30.63 | 46.23 | 26.17 |
Mask-RCNN (SwinT) | 48.55 | 10.8 | 56.72 | 60.12 | 54.64 |
Detectree2 | 62.86 | 11.4 | 22.33 | 49.71 | 20.22 |
YOLOV11 | 22.33 | 7.5 | 38.30 | 52.78 | 33.51 |
Ours | 10.81 | 6.2 | 57.01 | 62.21 | 55.32 |
Forest Name | Classification Acc. | AP | AP50 | AP70 |
---|---|---|---|---|
ForestSeg-T1 | 65.37 | 57.01 | 62.21 | 55.32 |
ForestSeg-T2 | 69.23 | 59.72 | 62.11 | 55.12 |
ForestSeg-T3 | 59.01 | 54.92 | 57.28 | 50.01 |
ForestSeg-T4 | 71.32 | 60.82 | 64.71 | 57.13 |
The datasets are released for academic research only, and are free to researchers from educational or research institutes for non-commercial purposes.