# Remote Sensing Image Processing
Coastlines
MIT
A pre-trained coastline segmentation model based on PyTorch's FPN architecture, suitable for coastline detection tasks in remote sensing images
Image Segmentation
C
cdog4563
16
0
Segformer B3 Ade 512 512 Finetuned Coasttrain
Other
An image segmentation model fine-tuned on coastline datasets based on nvidia/segformer-b3-finetuned-ade-512-512, specialized in recognizing land cover types such as water bodies, whitewater, and sediments.
Image Segmentation
Transformers

S
peldrak
18
0
Yolov8m Plane Detection
Aircraft object detection model based on YOLOv8m, excelling on the plane-detection dataset.
Object Detection
TensorBoard

Y
keremberke
305
10
Yolov8s Plane Detection
Aircraft object detection model based on YOLOv8s, optimized for aircraft recognition tasks.
Object Detection
TensorBoard

Y
keremberke
207
5
Segformer B0 Finetuned Segments Water 2
Apache-2.0
An image segmentation model fine-tuned on the imadd/water_dataset dataset based on nvidia/mit-b0, designed for water segmentation tasks
Image Segmentation
Transformers

S
imadd
51
1
Convnext Tiny Finetuned Eurosat
Apache-2.0
This is a ConvNeXT-tiny model fine-tuned on the EuroSAT satellite image dataset for land use classification tasks, achieving an accuracy of 98.05%.
Image Classification
Transformers

C
mrm8488
25
6
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