# Models, Datasets and Transformations for Images

## Documentation for package ‘torchvision’ version 0.8.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

B C D E F G I K L M N O P Q R T V W misc

## -- B --

base_loader | Base loader
batched_nms | Batched Non-maximum Suppression (NMS)
box_area | Box Area
box_convert | Box Convert
box_cxcywh_to_xyxy | box_cxcywh_to_xyxy
box_iou | Box IoU
box_xywh_to_xyxy | box_xywh_to_xyxy
box_xyxy_to_cxcywh | box_xyxy_to_cxcywh
box_xyxy_to_xywh | box_xyxy_to_xywh

## -- C --

caltech101_dataset | Caltech Datasets
caltech256_dataset | Caltech Datasets
caltech_dataset | Caltech Datasets
cifar100_dataset | CIFAR datasets
cifar10_dataset | CIFAR datasets
clip_boxes_to_image | Clip Boxes to Image
coco_caption_dataset | COCO Caption Dataset
coco_detection_dataset | COCO Detection Dataset

## -- D --

draw_bounding_boxes | Draws bounding boxes on image.
draw_bounding_boxes.default | Draws bounding boxes on image.
draw_bounding_boxes.image_with_bounding_box | Draws bounding boxes on image.
draw_bounding_boxes.torch_tensor | Draws bounding boxes on image.
draw_keypoints | Draws Keypoints
draw_segmentation_masks | Draw segmentation masks
draw_segmentation_masks.default | Draw segmentation masks
draw_segmentation_masks.image_with_segmentation_mask | Draw segmentation masks
draw_segmentation_masks.torch_tensor | Draw segmentation masks

## -- E --

emnist_collection | MNIST and Derived Datasets
emnist_dataset | MNIST and Derived Datasets
eurosat100_dataset | EuroSAT datasets
eurosat_all_bands_dataset | EuroSAT datasets
eurosat_dataset | EuroSAT datasets

## -- F --

fashion_mnist_dataset | MNIST and Derived Datasets
fer_dataset | FER-2013 Facial Expression Dataset
fgvc_aircraft_dataset | FGVC Aircraft Dataset
flickr30k_caption_dataset | Flickr Caption Datasets
flickr8k_caption_dataset | Flickr Caption Datasets
flickr_caption_dataset | Flickr Caption Datasets
flowers102_dataset | Oxford Flowers 102 Dataset

## -- G --

generalized_box_iou | Generalized Box IoU

## -- I --

imagenet_classes | ImageNet Class Labels
imagenet_label | ImageNet Class Labels
image_folder_dataset | Create an image folder dataset

## -- K --

kmnist_dataset | MNIST and Derived Datasets

## -- L --

lfw_dataset | LFW Datasets
lfw_pairs_dataset | LFW Datasets
lfw_people_dataset | LFW Datasets

## -- M --

magick_loader | Load an Image using ImageMagick
mnist_dataset | MNIST and Derived Datasets
model_alexnet | AlexNet Model Architecture
model_convnext | ConvNeXt Implementation
model_convnext_base_1k | ConvNeXt Implementation
model_convnext_base_22k | ConvNeXt Implementation
model_convnext_large_1k | ConvNeXt Implementation
model_convnext_large_22k | ConvNeXt Implementation
model_convnext_small_22k | ConvNeXt Implementation
model_convnext_small_22k1k | ConvNeXt Implementation
model_convnext_tiny_1k | ConvNeXt Implementation
model_convnext_tiny_22k | ConvNeXt Implementation
model_deeplabv3 | DeepLabV3 Models
model_deeplabv3_resnet101 | DeepLabV3 Models
model_deeplabv3_resnet50 | DeepLabV3 Models
model_efficientnet | EfficientNet Models
model_efficientnet_b0 | EfficientNet Models
model_efficientnet_b1 | EfficientNet Models
model_efficientnet_b2 | EfficientNet Models
model_efficientnet_b3 | EfficientNet Models
model_efficientnet_b4 | EfficientNet Models
model_efficientnet_b5 | EfficientNet Models
model_efficientnet_b6 | EfficientNet Models
model_efficientnet_b7 | EfficientNet Models
model_efficientnet_v2 | EfficientNetV2 Models
model_efficientnet_v2_l | EfficientNetV2 Models
model_efficientnet_v2_m | EfficientNetV2 Models
model_efficientnet_v2_s | EfficientNetV2 Models
model_facenet | MTCNN Face Detection Networks
model_facenet_inception_resnet_v1 | MTCNN Face Detection Networks
model_facenet_onet | MTCNN Face Detection Networks
model_facenet_pnet | MTCNN Face Detection Networks
model_facenet_rnet | MTCNN Face Detection Networks
model_fasterrcnn | Faster R-CNN Models
model_fasterrcnn_mobilenet_v3_large_320_fpn | Faster R-CNN Models
model_fasterrcnn_mobilenet_v3_large_fpn | Faster R-CNN Models
model_fasterrcnn_resnet50_fpn | Faster R-CNN Models
model_fasterrcnn_resnet50_fpn_v2 | Faster R-CNN Models
model_fcn_resnet | Fully Convolutional Network for Semantic Segmentation
model_fcn_resnet101 | Fully Convolutional Network for Semantic Segmentation
model_fcn_resnet50 | Fully Convolutional Network for Semantic Segmentation
model_inception_v3 | Inception v3 model
model_maxvit | MaxViT Model
model_mobilenet_v2 | MobileNetV2 Model
model_mobilenet_v3 | MobileNetV3 Model
model_mobilenet_v3_large | MobileNetV3 Model
model_mobilenet_v3_large_quantized | MobileNetV3 Model
model_mobilenet_v3_small | MobileNetV3 Model
model_mtcnn | MTCNN Face Detection Networks
model_resnet | ResNet implementation
model_resnet101 | ResNet implementation
model_resnet152 | ResNet implementation
model_resnet18 | ResNet implementation
model_resnet34 | ResNet implementation
model_resnet50 | ResNet implementation
model_resnext101_32x8d | ResNet implementation
model_resnext50_32x4d | ResNet implementation
model_vgg | VGG implementation
model_vgg11 | VGG implementation
model_vgg11_bn | VGG implementation
model_vgg13 | VGG implementation
model_vgg13_bn | VGG implementation
model_vgg16 | VGG implementation
model_vgg16_bn | VGG implementation
model_vgg19 | VGG implementation
model_vgg19_bn | VGG implementation
model_vit | Vision Transformer Implementation
model_vit_b_16 | Vision Transformer Implementation
model_vit_b_32 | Vision Transformer Implementation
model_vit_h_14 | Vision Transformer Implementation
model_vit_l_16 | Vision Transformer Implementation
model_vit_l_32 | Vision Transformer Implementation
model_wide_resnet101_2 | ResNet implementation
model_wide_resnet50_2 | ResNet implementation

## -- N --

nms | Non-maximum Suppression (NMS)

## -- O --

oxfordiiitpet_binary_dataset | Oxford-IIIT Pet Classification Datasets
oxfordiiitpet_dataset | Oxford-IIIT Pet Classification Datasets
oxfordiiitpet_segmentation_dataset | Oxford-IIIT Pet Segmentation Dataset

## -- P --

pascal_detection_dataset | Pascal VOC Datasets
pascal_segmentation_dataset | Pascal VOC Datasets
pascal_voc_datasets | Pascal VOC Datasets
places365_dataset | Places365 Dataset
places365_dataset_large | Places365 Dataset

## -- Q --

qmnist_dataset | MNIST and Derived Datasets

## -- R --

remove_small_boxes | Remove Small Boxes
rf100_biology_collection | RoboFlow 100 Biology dataset Collection
rf100_damage_collection | RoboFlow 100 Damages dataset Collection
rf100_document_collection | RF100 Document Collection Datasets
rf100_infrared_collection | RoboFlow 100 Infrared dataset Collection
rf100_medical_collection | RoboFlow 100 Medical dataset Collection
rf100_peixos_segmentation_dataset | RF100 Peixos Segmentation Dataset
rf100_underwater_collection | RoboFlow 100 Underwater dataset Collection

## -- T --

tensor_image_browse | Display image tensor
tensor_image_display | Display image tensor
tiny_imagenet_dataset | Tiny ImageNet dataset
transform_adjust_brightness | Adjust the brightness of an image
transform_adjust_contrast | Adjust the contrast of an image
transform_adjust_gamma | Adjust the gamma of an RGB image
transform_adjust_hue | Adjust the hue of an image
transform_adjust_saturation | Adjust the color saturation of an image
transform_affine | Apply affine transformation on an image keeping image center invariant
transform_center_crop | Crops the given image at the center
transform_color_jitter | Randomly change the brightness, contrast and saturation of an image
transform_convert_image_dtype | Convert a tensor image to the given 'dtype' and scale the values accordingly
transform_crop | Crop the given image at specified location and output size
transform_five_crop | Crop image into four corners and a central crop
transform_grayscale | Convert image to grayscale
transform_hflip | Horizontally flip a PIL Image or Tensor
transform_linear_transformation | Transform a tensor image with a square transformation matrix and a mean_vector computed offline
transform_normalize | Normalize a tensor image with mean and standard deviation
transform_pad | Pad the given image on all sides with the given "pad" value
transform_perspective | Perspective transformation of an image
transform_random_affine | Random affine transformation of the image keeping center invariant
transform_random_apply | Apply a list of transformations randomly with a given probability
transform_random_choice | Apply single transformation randomly picked from a list
transform_random_crop | Crop the given image at a random location
transform_random_erasing | Randomly selects a rectangular region in an image and erases its pixel values
transform_random_grayscale | Randomly convert image to grayscale with a given probability
transform_random_horizontal_flip | Horizontally flip an image randomly with a given probability
transform_random_order | Apply a list of transformations in a random order
transform_random_perspective | Random perspective transformation of an image with a given probability
transform_random_resized_crop | Crop image to random size and aspect ratio
transform_random_rotation | Rotate the image by angle
transform_random_vertical_flip | Vertically flip an image randomly with a given probability
transform_resize | Resize the input image to the given size
transform_resized_crop | Crop an image and resize it to a desired size
transform_rgb_to_grayscale | Convert RGB Image Tensor to Grayscale
transform_rotate | Angular rotation of an image
transform_ten_crop | Crop an image and the flipped image each into four corners and a central crop
transform_to_tensor | Convert an image to a tensor
transform_vflip | Vertically flip a PIL Image or Tensor

## -- V --

vision_make_grid | A simplified version of torchvision.utils.make_grid

## -- W --

whoi_plankton_dataset | WHOI Plankton Datasets
whoi_small_coralnet_dataset | Coralnet Dataset
whoi_small_plankton_dataset | WHOI Plankton Datasets

## -- misc --

.rename_mobilenet_v3_state_dict | Rename state_dict keys to match current MobileNetV3 model structure