Category Index¶

augmentation¶

augmentation.vision¶

augmentation.vision.2d¶

augmentation.vision.2d.training¶

Name	UUID	Execution Contexts
Generic augmentations	`ec23e2...`	`leip_af`

augmentation.vision.2d.validation¶

Name	UUID	Execution Contexts
Generic augmentations	`bf983a...`	`leip_af`

callback¶

callback.checkpoint¶

Name	UUID	Execution Contexts
Checkpointing	`a504d3...`	`leip_af`

callback.detection¶

callback.detection.post_processing¶

Name	UUID	Execution Contexts
General Detection Postprocessor	`5c9d9e...`	`leip_af`

callback.early_termination¶

Name	UUID	Execution Contexts
Early Stopping	`af5bc2...`	`leip_af`

callback.learning_rate_monitor¶

Name	UUID	Execution Contexts
Learning Rate Monitor	`ca1b5a...`	`leip_af`

callback.progress_bar¶

Name	UUID	Execution Contexts
Progress Bar - Custom	`07c427...`	`leip_af`
Progress Bar	`c7746a...`	`leip_af`

callback.quantization¶

Name	UUID	Execution Contexts
Training-aware Quantization - Custom	`82c7f2...`	`leip_af`
Quantization-Guided Training	`651ac9...`	`leip_af`
Training-aware Quantization - Expert	`65c23c...`	`leip_af`
Training-aware Quantization - Yolo Small - 960 kB	`a94afb...`	`leip_af`
Training-aware Quantization - Basic	`c7f811...`	`leip_af`

callback.reproducibility¶

Name	UUID	Execution Contexts
Reproducibility	`c8dc41...`	`leip_af`

callback.swa¶

Name	UUID	Execution Contexts
Stochastic Weight Averaging	`7e6707...`	`leip_af`

callback.telemetry¶

Name	UUID	Execution Contexts
File-based telemetry	`9f612c...`	`leip_af`

checkpoint¶

Name	UUID	Execution Contexts
Download ckpt file	`9caaf8...`	`leip_af`
Local ckpt file	`8c9b94...`	`leip_af`
No Checkpoint	`53d3cc...`	`leip_af`

checkpoint.lor¶

Name	UUID	Execution Contexts
Remote LOR model	`31fbfe...`	`leip_af`

checkpoint.lre¶

Name	UUID	Execution Contexts
Local LRE compiled model	`af6bb7...`	`leip_af`

command¶

command.setup¶

Name	UUID	Execution Contexts
Full Recipe	`4511dd...`	`leip_af`

data_generator¶

data_generator.vision¶

data_generator.vision.classification¶

data_generator.vision.classification.2d¶

Name	UUID	Execution Contexts
FGVC_Aircraft	`cabeb1...`	`leip_af`
Imagenette	`0ea3a6...`	`leip_af`
Cifar100	`6cfc10...`	`leip_af`
Unlabeled Dataset	`c99106...`	`leip_af`
EuroSAT	`26f94a...`	`leip_af`
Composite - Class selector	`f39da4...`	`leip_af`
Open Images	`dc5f0c...`	`leip_af`
Composite - Data joiner	`6705d0...`	`leip_af`
Stanford_Cars	`6e5e5c...`	`leip_af`
Cifar10	`ad0ff1...`	`leip_af`
MSCOCO	`187969...`	`leip_af`
GTSRB	`c613a0...`	`leip_af`
BYOD - Classification	`b950a9...`	`leip_af`
Composite - Random subset	`1f20bb...`	`leip_af`
Composite - MixUp Classification	`a3a9f5...`	`leip_af`

data_generator.vision.detection¶

data_generator.vision.detection.2d¶

Name	UUID	Execution Contexts
Fruits Detection (data/sets/kaggle/detection/mbkinaci-fruit-images-for-object-detection)	`fe572b...`	`leip_af`
Attach FiftyOne Dataset	`359941...`	`leip_af`
BYOD from Url - YOLO format	`80941f...`	`leip_af`
COCO	`5da646...`	`leip_af`
PASCAL VOC	`7828d6...`	`leip_af`
Zenodo wheat (data/sets/url/detection/zenodo-wheat)	`136f00...`	`leip_af`
Car Detection (data/sets/kaggle/detection/sshikamaru-car-object-detection)	`09f12f...`	`leip_af`
Fire and smoke (data/sets/url/detection/fire-and-smoke-coco-like)	`b4e263...`	`leip_af`
Smoke (data/sets/url/detection/smoke-pascal-like)	`7f2131...`	`leip_af`
BYOD - COCO format	`ab32a8...`	`leip_af`
BYOD from Url - KITTI format	`52a282...`	`leip_af`
Composite - Random subset	`8faf93...`	`leip_af`
Composite - Matting	`32f88f...`	`leip_af`
Smoke Detection (data/sets/kaggle/detection/pascal-smoke-dataset)	`acbf51...`	`leip_af`
BYOD - PASCAL format	`f607ac...`	`leip_af`
Ship Detection (data/sets/kaggle/detection/pascal-ship-dataset)	`fc78e7...`	`leip_af`
Composite - Data joiner	`0d0412...`	`leip_af`
BYOD - KITTI format	`b4e826...`	`leip_af`
Unlabeled Dataset	`490f26...`	`leip_af`
BYOD from Url - COCO format	`8fe2d1...`	`leip_af`
BYOD from Url - PASCAL format	`42c4ba...`	`leip_af`
COCO Car Detection (data/sets/kaggle/detection/coco-car-dataset)	`f438ee...`	`leip_af`
Composite - Class selector	`b07ae6...`	`leip_af`
Dice Detection (data/sets/kaggle/detection/pascal-dice-dataset)	`c4a645...`	`leip_af`
Dials and gauges (data/sets/url/detection/dials-and-gauges-pascal-like)	`b5dcf9...`	`leip_af`
Pothole Detection (data/sets/kaggle/detection/andrewmvd-pothole-detection)	`338486...`	`leip_af`
VAID (Overhead Car Detection)	`fde9be...`	`leip_af`
Composite - Mosaic	`2418f5...`	`leip_af`
Dice, Car, Battery Detection (data/sets/kaggle/detection/kitti-dice-car-battery-detection-new)	`7d249d...`	`leip_af`
Face Mask Detection (data/sets/kaggle/detection/andrewmvd-face-mask-detection)	`4bd8d9...`	`leip_af`
BYOD - YOLO format	`767522...`	`leip_af`

data_generator.vision.segmentation¶

data_generator.vision.segmentation.2d¶

Name	UUID	Execution Contexts
iMaterialist (Fashion) 2019 (data/sets/kaggle/segmentation/competitions-imaterialist-fashion-2019-FGVC6)	`dcc70c...`	`leip_af`
Historical Map Segmentation (data/sets/url/segmentation/historical-map-world-segmentation)	`3c5ed3...`	`leip_af`
Composite - Data joiner	`272d9c...`	`leip_af`
SIIM ACR Pneumothorax Segmentation (data/sets/kaggle/detection/jesperdramsch-siim-acr-pneumothorax-segmentation-data)	`deeeef...`	`leip_af`
Drone Segmentation (kaggle/bulentsiyah-semantic-drone)	`bda4ca...`	`leip_af`
Cityscapes Segmentation (data/sets/url/segmentation/cityscapes-segmentation)	`ab2713...`	`leip_af`
BYOD - RLE format	`166d05...`	`leip_af`
CamVid (data/sets/kaggle/segmentation/carlolepelaars-camvid)	`d4e0f6...`	`leip_af`
Composite - Random subset	`f90acb...`	`leip_af`
PASCAL VOC Segmentation	`b45fe5...`	`leip_af`
Unlabeled Dataset	`c929c1...`	`leip_af`

data_module¶

Name	UUID	Execution Contexts
Basic Adaptor	`a569c5...`	`leip_af`

data_report¶

data_report.classification¶

data_report.classification.2d¶

Name	UUID	Execution Contexts
Classification report	`39ed0a...`	`leip_af`

data_report.detection¶

data_report.detection.2d¶

Name	UUID	Execution Contexts
Detection report	`66616e...`	`leip_af`

data_report.segmentation¶

data_report.segmentation.2d¶

Name	UUID	Execution Contexts
Segmentation report	`8e14da...`	`leip_af`

data_report_section¶

data_report_section.basic¶

Name	UUID	Execution Contexts
Image shapes	`de952d...`	`leip_af`
Subset numbers	`557538...`	`leip_af`
Yaml Config	`a6cf93...`	`leip_af`

data_report_section.detection¶

Name	UUID	Execution Contexts
Anchor boxes	`70eb67...`	`leip_af`
Class distribution	`0edfe6...`	`leip_af`
Boxes number	`851e22...`	`leip_af`
Box shapes	`70a5f2...`	`leip_af`
Common gt location	`1f6f06...`	`leip_af`

eval¶

Name	UUID	Execution Contexts
Default Evaluation	`ef18b1...`	`leip_af`

export¶

export.dynamo_onnx¶

Name	UUID	Execution Contexts
Export to TorchDynamo-based ONNX	`160be7...`	`leip_af`

export.tracer¶

Name	UUID	Execution Contexts
Export to TorchScript-based ONNX	`cb802d...`	`leip_af`
Export	`32b32e...`	`leip_af`

export_data¶

export_data.classification¶

export_data.classification.2d¶

Name	UUID	Execution Contexts
Export image folder	`37b861...`	`leip_af`

export_data.detection¶

export_data.detection.2d¶

Name	UUID	Execution Contexts
Export in COCO format	`02f487...`	`leip_af`
Export in PASCAL format	`f263f6...`	`leip_af`
Export in KITTI format	`9e32bb...`	`leip_af`

hydra¶

Name	UUID	Execution Contexts
Hydra - Default config	`b42a3c...`	`leip_af`

hyperparameter¶

hyperparameter.optimization¶

hyperparameter.optimization.optimizer¶

hyperparameter.optimization.optimizer.nanodet¶

Name	UUID	Execution Contexts
Customised per-layer hyperparameter	`157719...`	`leip_af`

inheritance¶

inheritance.data-leip-base-h5¶

Name	UUID	Execution Contexts
Imagenette - base	`65553c...`	`leip_af`

logger¶

logger.neptune¶

Name	UUID	Execution Contexts
Neptune.AI	`6030ec...`	`leip_af`

logger.tensorboard¶

Name	UUID	Execution Contexts
Tensorboard	`d13977...`	`leip_af`

logger.wandb¶

Name	UUID	Execution Contexts
Weights and Biases	`975064...`	`leip_af`

metric¶

metric.classification¶

metric.classification.2d¶

Name	UUID	Execution Contexts
Accuracy	`ebb1b4...`	`leip_af`
Confusion Matrix - Classification	`e286e8...`	`leip_af`

metric.detection¶

metric.detection.2d¶

Name	UUID	Execution Contexts
mAP - torchmetrics	`bc8063...`	`leip_af`

metric.segmentation¶

metric.segmentation.2d¶

Name	UUID	Execution Contexts
Intersection Over Union	`b227f9...`	`leip_af`

model¶

model.classification¶

model.classification.2d¶

Name	UUID	Execution Contexts
Classifier	`2d40db...`	`leip_af`

model.detection¶

model.detection.2d¶

Name	UUID	Execution Contexts
SSD	`373fd2...`	`leip_af`
EfficientDet	`43a469...`	`leip_af`
Yolo v10	`c4570a...`	`leip_af`
Yolo v8	`ad1109...`	`leip_af`
RT-DETR	`29a874...`	`leip_af`
NanoDet	`70be5a...`	`leip_af`
UL Yolo v5	`3963c0...`	`leip_af`
Yolo v5	`a7f08e...`	`leip_af`

model.segmentation¶

model.segmentation.2d¶

Name	UUID	Execution Contexts
U-Net	`008857...`	`leip_af`
DeepLab v3 +	`cb855a...`	`leip_af`
PSPNet	`78c40e...`	`leip_af`

optimization¶

optimization.loss_function¶

optimization.loss_function.segmentation¶

Name	UUID	Execution Contexts
Jaccard	`005251...`	`leip_af`
Focal	`01895d...`	`leip_af`
Dice	`25fb78...`	`leip_af`
MCC	`c85d11...`	`leip_af`
Lovasz	`c998f9...`	`leip_af`
SoftBCEWithLogits	`858bae...`	`leip_af`
SoftCrossEntropy	`e018a9...`	`leip_af`
Tversky	`1fa13a...`	`leip_af`

optimization.optimizer¶

optimization.optimizer.generic¶

Name	UUID	Execution Contexts
Optimizer	`07874c...`	`leip_af`

optimization.optimizer.nanodet¶

Name	UUID	Execution Contexts
Basic NanoDet	`616a32...`	`leip_af`

optimization.optimizer.rtdetr¶

Name	UUID	Execution Contexts
Basic RT-DETR	`015bab...`	`leip_af`

optimization.optimizer.yolo¶

Name	UUID	Execution Contexts
Basic YOLO	`a10dd7...`	`leip_af`

optimization.scheduler¶

optimization.scheduler.generic¶

Name	UUID	Execution Contexts
Exponential Decay	`c4216b...`	`leip_af`
One Cycle	`f5a3c3...`	`leip_af`
Reduce on Plateau	`fda2bf...`	`leip_af`
Cosine Annealing	`0267b5...`	`leip_af`

optimization.warmup¶

optimization.warmup.nanodet¶

Name	UUID	Execution Contexts
Basic NanoDet	`147ca9...`	`leip_af`

paths¶

Name	UUID	Execution Contexts
Default Paths	`faf018...`	`leip_af`

predict¶

Name	UUID	Execution Contexts
Generic	`202f42...`	`leip_af`

predict_labels¶

Name	UUID	Execution Contexts
Custom	`3b67a4...`	`leip_af`
Few/Large	`faf806...`	`leip_af`
Many/Small	`fa00bf...`	`leip_af`

system¶

system.telemetry¶

Name	UUID	Execution Contexts
Telemetry link	`0d313c...`	`leip_af`

task¶

task.vision¶

task.vision.classification¶

task.vision.classification.2d¶

Name	UUID	Execution Contexts
Vision - Classification 2D	`17af92...`	`leip_af`

task.vision.detection¶

task.vision.detection.2d¶

Name	UUID	Execution Contexts
Vision - Detection 2D	`abf963...`	`leip_af`

task.vision.segmentation¶

task.vision.segmentation.2d¶

Name	UUID	Execution Contexts
Vision - Segmentation 2D	`04a8c7...`	`leip_af`

train_eval¶

train_eval.classification¶

train_eval.classification.2d¶

Name	UUID	Execution Contexts
Area under ROC	`ec6d82...`	`leip_af`
Accuracy	`505f8a...`	`leip_af`
Precision	`cf7e8e...`	`leip_af`
Recall	`37efe0...`	`leip_af`
F1Score	`4cebe6...`	`leip_af`

train_eval.detection¶

train_eval.detection.2d¶

Name	UUID	Execution Contexts
Training accumulator	`99d582...`	`leip_af`

trainer¶

Name	UUID	Execution Contexts
Trainer - Generic	`07b540...`	`leip_af`
Trainer - CPU only	`ac8b06...`	`leip_af`
Trainer - Multi-Accelerator	`5d945c...`	`leip_af`
Trainer - Single Accelerator	`d99e00...`	`leip_af`

vizdata¶

Name	UUID	Execution Contexts
Vizdata	`16d0fa...`	`leip_af`

vizdata_labels¶

Name	UUID	Execution Contexts
Custom	`82f1cd...`	`leip_af`
Few/Large	`c17d0c...`	`leip_af`
Many/Small	`b23e70...`	`leip_af`