Image Segmentation
Transformers
PyTorch
pixdlm
cvpr-2026
compute-transparency
reasoning-segmentation
uav
remote-sensing
vision-language
Instructions to use WhynotHug/PixDLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhynotHug/PixDLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="WhynotHug/PixDLM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WhynotHug/PixDLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,684 Bytes
3334467 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | [
"wall", "building", "sky", "floor", "tree", "ceiling", "road",
"bed", "windowpane", "grass", "cabinet", "sidewalk",
"person", "earth", "door", "table", "mountain", "plant",
"curtain", "chair", "car", "water", "painting", "sofa",
"shelf", "house", "sea", "mirror", "rug", "field", "armchair",
"seat", "fence", "desk", "rock", "wardrobe", "lamp",
"bathtub", "railing", "cushion", "base", "box", "column",
"signboard", "chest of drawers", "counter", "sand", "sink",
"skyscraper", "fireplace", "refrigerator", "grandstand",
"path", "stairs", "runway", "case", "pool table", "pillow",
"screen door", "stairway", "river", "bridge", "bookcase",
"blind", "coffee table", "toilet", "flower", "book", "hill",
"bench", "countertop", "stove", "palm", "kitchen island",
"computer", "swivel chair", "boat", "bar", "arcade machine",
"hovel", "bus", "towel", "light", "truck", "tower",
"chandelier", "awning", "streetlight", "booth",
"television receiver", "airplane", "dirt track", "apparel",
"pole", "land", "bannister", "escalator", "ottoman", "bottle",
"buffet", "poster", "stage", "van", "ship", "fountain",
"conveyer belt", "canopy", "washer", "plaything",
"swimming pool", "stool", "barrel", "basket", "waterfall",
"tent", "bag", "minibike", "cradle", "oven", "ball", "food",
"step", "tank", "trade name", "microwave", "pot", "animal",
"bicycle", "lake", "dishwasher", "screen", "blanket",
"sculpture", "hood", "sconce", "vase", "traffic light",
"tray", "ashcan", "fan", "pier", "crt screen", "plate",
"monitor", "bulletin board", "shower", "radiator", "glass",
"clock", "flag"
] |