chribark/segformer-b3-finetuned-UAVid

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segformer-b3-finetuned-UAVid

This model is a fine-tuned version of nvidia/segformer-b3-finetuned-ade-512-512 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2115
• —Mean Iou: 0.6365
• —Mean Accuracy: 0.7005
• —Overall Accuracy: 0.9263
• —Accuracy Wall: nan
• —Accuracy Building: 0.9535
• —Accuracy Sky: nan
• —Accuracy Floor: nan
• —Accuracy Tree: 0.9415
• —Accuracy Ceiling: nan
• —Accuracy Road: 0.8948
• —Accuracy Bed : nan
• —Accuracy Windowpane: nan
• —Accuracy Grass: nan
• —Accuracy Cabinet: nan
• —Accuracy Sidewalk: nan
• —Accuracy Person: 0.0038
• —Accuracy Earth: nan
• —Accuracy Door: nan
• —Accuracy Table: nan
• —Accuracy Mountain: nan
• —Accuracy Plant: nan
• —Accuracy Curtain: nan
• —Accuracy Chair: nan
• —Accuracy Car: 0.7086
• —Accuracy Water: nan
• —Accuracy Painting: nan
• —Accuracy Sofa: nan
• —Accuracy Shelf: nan
• —Accuracy House: nan
• —Accuracy Sea: nan
• —Accuracy Mirror: nan
• —Accuracy Rug: nan
• —Accuracy Field: nan
• —Accuracy Armchair: nan
• —Accuracy Seat: nan
• —Accuracy Fence: nan
• —Accuracy Desk: nan
• —Accuracy Rock: nan
• —Accuracy Wardrobe: nan
• —Accuracy Lamp: nan
• —Accuracy Bathtub: nan
• —Accuracy Railing: nan
• —Accuracy Cushion: nan
• —Accuracy Base: nan
• —Accuracy Box: nan
• —Accuracy Column: nan
• —Accuracy Signboard: nan
• —Accuracy Chest of drawers: nan
• —Accuracy Counter: nan
• —Accuracy Sand: nan
• —Accuracy Sink: nan
• —Accuracy Skyscraper: nan
• —Accuracy Fireplace: nan
• —Accuracy Refrigerator: nan
• —Accuracy Grandstand: nan
• —Accuracy Path: nan
• —Accuracy Stairs: nan
• —Accuracy Runway: nan
• —Accuracy Case: nan
• —Accuracy Pool table: nan
• —Accuracy Pillow: nan
• —Accuracy Screen door: nan
• —Accuracy Stairway: nan
• —Accuracy River: nan
• —Accuracy Bridge: nan
• —Accuracy Bookcase: nan
• —Accuracy Blind: nan
• —Accuracy Coffee table: nan
• —Accuracy Toilet: nan
• —Accuracy Flower: nan
• —Accuracy Book: nan
• —Accuracy Hill: nan
• —Accuracy Bench: nan
• —Accuracy Countertop: nan
• —Accuracy Stove: nan
• —Accuracy Palm: nan
• —Accuracy Kitchen island: nan
• —Accuracy Computer: nan
• —Accuracy Swivel chair: nan
• —Accuracy Boat: nan
• —Accuracy Bar: nan
• —Accuracy Arcade machine: nan
• —Accuracy Hovel: nan
• —Accuracy Bus: nan
• —Accuracy Towel: nan
• —Accuracy Light: nan
• —Accuracy Truck: nan
• —Accuracy Tower: nan
• —Accuracy Chandelier: nan
• —Accuracy Awning: nan
• —Accuracy Streetlight: nan
• —Accuracy Booth: nan
• —Accuracy Television receiver: nan
• —Accuracy Airplane: nan
• —Accuracy Dirt track: nan
• —Accuracy Apparel: nan
• —Accuracy Pole: nan
• —Accuracy Land: nan
• —Accuracy Bannister: nan
• —Accuracy Escalator: nan
• —Accuracy Ottoman: nan
• —Accuracy Bottle: nan
• —Accuracy Buffet: nan
• —Accuracy Poster: nan
• —Accuracy Stage: nan
• —Accuracy Van: nan
• —Accuracy Ship: nan
• —Accuracy Fountain: nan
• —Accuracy Conveyer belt: nan
• —Accuracy Canopy: nan
• —Accuracy Washer: nan
• —Accuracy Plaything: nan
• —Accuracy Swimming pool: nan
• —Accuracy Stool: nan
• —Accuracy Barrel: nan
• —Accuracy Basket: nan
• —Accuracy Waterfall: nan
• —Accuracy Tent: nan
• —Accuracy Bag: nan
• —Accuracy Minibike: nan
• —Accuracy Cradle: nan
• —Accuracy Oven: nan
• —Accuracy Ball: nan
• —Accuracy Food: nan
• —Accuracy Step: nan
• —Accuracy Tank: nan
• —Accuracy Trade name: nan
• —Accuracy Microwave: nan
• —Accuracy Pot: nan
• —Accuracy Animal: nan
• —Accuracy Bicycle: nan
• —Accuracy Lake: nan
• —Accuracy Dishwasher: nan
• —Accuracy Screen: nan
• —Accuracy Blanket: nan
• —Accuracy Sculpture: nan
• —Accuracy Hood: nan
• —Accuracy Sconce: nan
• —Accuracy Vase: nan
• —Accuracy Traffic light: nan
• —Accuracy Tray: nan
• —Accuracy Ashcan: nan
• —Accuracy Fan: nan
• —Accuracy Pier: nan
• —Accuracy Crt screen: nan
• —Accuracy Plate: nan
• —Accuracy Monitor: nan
• —Accuracy Bulletin board: nan
• —Accuracy Shower: nan
• —Accuracy Radiator: nan
• —Accuracy Glass: nan
• —Accuracy Clock: nan
• —Accuracy Flag: nan
• —Iou Wall: nan
• —Iou Building: 0.9105
• —Iou Sky: nan
• —Iou Floor: nan
• —Iou Tree: 0.8818
• —Iou Ceiling: nan
• —Iou Road: 0.8152
• —Iou Bed : nan
• —Iou Windowpane: nan
• —Iou Grass: nan
• —Iou Cabinet: nan
• —Iou Sidewalk: nan
• —Iou Person: 0.0038
• —Iou Earth: nan
• —Iou Door: nan
• —Iou Table: nan
• —Iou Mountain: nan
• —Iou Plant: nan
• —Iou Curtain: nan
• —Iou Chair: nan
• —Iou Car: 0.5711
• —Iou Water: nan
• —Iou Painting: nan
• —Iou Sofa: nan
• —Iou Shelf: nan
• —Iou House: nan
• —Iou Sea: nan
• —Iou Mirror: nan
• —Iou Rug: nan
• —Iou Field: nan
• —Iou Armchair: nan
• —Iou Seat: nan
• —Iou Fence: nan
• —Iou Desk: nan
• —Iou Rock: nan
• —Iou Wardrobe: nan
• —Iou Lamp: nan
• —Iou Bathtub: nan
• —Iou Railing: nan
• —Iou Cushion: nan
• —Iou Base: nan
• —Iou Box: nan
• —Iou Column: nan
• —Iou Signboard: nan
• —Iou Chest of drawers: nan
• —Iou Counter: nan
• —Iou Sand: nan
• —Iou Sink: nan
• —Iou Skyscraper: nan
• —Iou Fireplace: nan
• —Iou Refrigerator: nan
• —Iou Grandstand: nan
• —Iou Path: nan
• —Iou Stairs: nan
• —Iou Runway: nan
• —Iou Case: nan
• —Iou Pool table: nan
• —Iou Pillow: nan
• —Iou Screen door: nan
• —Iou Stairway: nan
• —Iou River: nan
• —Iou Bridge: nan
• —Iou Bookcase: nan
• —Iou Blind: nan
• —Iou Coffee table: nan
• —Iou Toilet: nan
• —Iou Flower: nan
• —Iou Book: nan
• —Iou Hill: nan
• —Iou Bench: nan
• —Iou Countertop: nan
• —Iou Stove: nan
• —Iou Palm: nan
• —Iou Kitchen island: nan
• —Iou Computer: nan
• —Iou Swivel chair: nan
• —Iou Boat: nan
• —Iou Bar: nan
• —Iou Arcade machine: nan
• —Iou Hovel: nan
• —Iou Bus: nan
• —Iou Towel: nan
• —Iou Light: nan
• —Iou Truck: nan
• —Iou Tower: nan
• —Iou Chandelier: nan
• —Iou Awning: nan
• —Iou Streetlight: nan
• —Iou Booth: nan
• —Iou Television receiver: nan
• —Iou Airplane: nan
• —Iou Dirt track: nan
• —Iou Apparel: nan
• —Iou Pole: nan
• —Iou Land: nan
• —Iou Bannister: nan
• —Iou Escalator: nan
• —Iou Ottoman: nan
• —Iou Bottle: nan
• —Iou Buffet: nan
• —Iou Poster: nan
• —Iou Stage: nan
• —Iou Van: nan
• —Iou Ship: nan
• —Iou Fountain: nan
• —Iou Conveyer belt: nan
• —Iou Canopy: nan
• —Iou Washer: nan
• —Iou Plaything: nan
• —Iou Swimming pool: nan
• —Iou Stool: nan
• —Iou Barrel: nan
• —Iou Basket: nan
• —Iou Waterfall: nan
• —Iou Tent: nan
• —Iou Bag: nan
• —Iou Minibike: nan
• —Iou Cradle: nan
• —Iou Oven: nan
• —Iou Ball: nan
• —Iou Food: nan
• —Iou Step: nan
• —Iou Tank: nan
• —Iou Trade name: nan
• —Iou Microwave: nan
• —Iou Pot: nan
• —Iou Animal: nan
• —Iou Bicycle: nan
• —Iou Lake: nan
• —Iou Dishwasher: nan
• —Iou Screen: nan
• —Iou Blanket: nan
• —Iou Sculpture: nan
• —Iou Hood: nan
• —Iou Sconce: nan
• —Iou Vase: nan
• —Iou Traffic light: nan
• —Iou Tray: nan
• —Iou Ashcan: nan
• —Iou Fan: nan
• —Iou Pier: nan
• —Iou Crt screen: nan
• —Iou Plate: nan
• —Iou Monitor: nan
• —Iou Bulletin board: nan
• —Iou Shower: nan
• —Iou Radiator: nan
• —Iou Glass: nan
• —Iou Clock: nan
• —Iou Flag: nan

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 6e-05
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 15

Training results