Mask R-CNN ResNet50 FPN - COCO Instance Segmentation
An established class-aware instance segmentation baseline that predicts a box and a mask for each detected object. Adapt the COCO checkpoint before mapping custom GIS assets.
Explore published GISSchools content associated with this exact Tag.
Showing only published content with this exact existing Tag relationship.
An established class-aware instance segmentation baseline that predicts a box and a mask for each detected object. Adapt the COCO checkpoint before mapping custom GIS assets.
Use points or boxes to extract individual object masks. SAM 2.1 supports interactive image segmentation and video object tracking, without assigning semantic class names.
A patch-based Transformer counterpart to ResNet. Explore whole-image classification, transfer learning and the difference between image labels and mapped land cover.
An accessible residual-network baseline for whole-image classification. Includes the genuine provider checkpoint, configuration and processor for a reproducible starting point.
The official TorchVision DeepLabV3 ResNet50 checkpoint provides a convolutional counterpart to SegFormer. Learn atrous context, pixel masks and the fine-tuning needed for GIS cl…
A real ADE20K-finetuned SegFormer B0 checkpoint for semantic pixel labeling. Explore its encoder/decoder workflow and the limits of using scene-parsing weights on satellite imag…
An official RT-DETR R18vd checkpoint with a CNN backbone and Transformer decoder. Includes genuine local safetensors weights, configuration and source attribution.
A compact official YOLO26 detector for RGB images. Learn its box outputs, custom training workflow and the steps needed before applying COCO weights to aerial imagery.