Image Model Distribution Settings Object Detection Args
constructor(amsGradient: Output<String>? = null, augmentations: Output<String>? = null, beta1: Output<String>? = null, beta2: Output<String>? = null, boxDetectionsPerImage: Output<String>? = null, boxScoreThreshold: Output<String>? = null, distributed: Output<String>? = null, earlyStopping: Output<String>? = null, earlyStoppingDelay: Output<String>? = null, earlyStoppingPatience: Output<String>? = null, enableOnnxNormalization: Output<String>? = null, evaluationFrequency: Output<String>? = null, gradientAccumulationStep: Output<String>? = null, imageSize: Output<String>? = null, layersToFreeze: Output<String>? = null, learningRate: Output<String>? = null, learningRateScheduler: Output<String>? = null, maxSize: Output<String>? = null, minSize: Output<String>? = null, modelName: Output<String>? = null, modelSize: Output<String>? = null, momentum: Output<String>? = null, multiScale: Output<String>? = null, nesterov: Output<String>? = null, nmsIouThreshold: Output<String>? = null, numberOfEpochs: Output<String>? = null, numberOfWorkers: Output<String>? = null, optimizer: Output<String>? = null, randomSeed: Output<String>? = null, stepLRGamma: Output<String>? = null, stepLRStepSize: Output<String>? = null, tileGridSize: Output<String>? = null, tileOverlapRatio: Output<String>? = null, tilePredictionsNmsThreshold: Output<String>? = null, trainingBatchSize: Output<String>? = null, validationBatchSize: Output<String>? = null, validationIouThreshold: Output<String>? = null, validationMetricType: Output<String>? = null, warmupCosineLRCycles: Output<String>? = null, warmupCosineLRWarmupEpochs: Output<String>? = null, weightDecay: Output<String>? = null)