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dataset_definitions.yml
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datasets:
- name: ms_coco_mask_rcnn
annotation_conversion:
converter: mscoco_mask_rcnn
annotation_file: instances_val2017.json
has_background: True
sort_annotations: True
annotation: mscoco_mask_rcnn.pickle
dataset_meta: mscoco_mask_rcnn.json
data_source: val2017
- name: ms_coco_mask_rcnn_short_80_classes
annotation_conversion:
converter: mscoco_mask_rcnn
annotation_file: instances_val2017_short.json
has_background: True
sort_annotations: True
annotation: mscoco_mask_rcnn_short_80.pickle
dataset_meta: mscoco_mask_rcnn_short_80.json
data_source: val2017
- name: ms_coco_mask_rcnn_short_80_classes_without_background
annotation_conversion:
converter: mscoco_mask_rcnn
annotation_file: instances_val2017.json
has_background: False
sort_annotations: True
annotation: mscoco_mask_rcnn_short_80_without_bkgr.pickle
dataset_meta: mscoco_mask_rcnn_short_80_without_bkgr.json
data_source: val2017
- name: ms_coco_mask_rcnn_short_91_classes
annotation_conversion:
converter: mscoco_mask_rcnn
annotation_file: instances_val2017_short.json
has_background: True
sort_annotations: True
use_full_label_map: True
annotation: mscoco_mask_rcnn_short_91.pickle
dataset_meta: mscoco_mask_rcnn_short_91.json
data_source: val2017
preprocessing:
- type: resize
aspect_ratio_scale: fit_to_window
dst_height: 800
dst_width: 1365
- type: padding
dst_height: 800
dst_width: 1365
pad_type: right_bottom
postprocessing:
- type: faster_rcnn_postprocessing_resize
dst_height: 800
dst_width: 1365
- name: ms_coco_detection_91_classes
annotation_conversion:
converter: mscoco_detection
annotation_file: instances_val2017.json
has_background: True
sort_annotations: True
use_full_label_map: True
annotation: mscoco_det_91.pickle
dataset_meta: mscoco_det_91.json
data_source: val2017
preprocessing:
- type: resize
aspect_ratio_scale: fit_to_window
dst_height: 600
dst_width: 1024
- type: padding
dst_height: 600
dst_width: 1024
pad_type: right_bottom
postprocessing:
- type: faster_rcnn_postprocessing_resize
dst_height: 600
dst_width: 1024
- name: ms_coco_detection_80_class_without_background
data_source: val2017
annotation_conversion:
converter: mscoco_detection
annotation_file: instances_val2017.json
has_background: False
sort_annotations: True
use_full_label_map: False
annotation: mscoco_det_80.pickle
dataset_meta: mscoco_det_80.json
- name: ms_coco_detection_80_class_with_background
data_source: val2017
annotation_conversion:
converter: mscoco_detection
annotation_file: instances_val2017.json
has_background: True
sort_annotations: True
use_full_label_map: False
annotation: mscoco_det_80_bkgr.pickle
dataset_meta: mscoco_det_80_bkgr.json
- name: ms_coco_keypoints
data_source: val2017
annotation_conversion:
converter: mscoco_keypoints
annotation_file: person_keypoints_val2017.json
sort_key: image_size
annotation: mscoco_keypoints.pickle
dataset_meta: mscoco_keypoints.json
metrics:
- name: AP
type: coco_precision
max_detections: 20
- name: imagenet_1000_classes
annotation_conversion:
converter: imagenet
annotation_file: val.txt
annotation: imagenet1000.pickle
data_source: ILSVRC2012_img_val
metrics:
- name: accuracy@top1
type: accuracy
top_k: 1
- name: accuracy@top5
type: accuracy
top_k: 5
- name: imagenet_1000_classes_2015
annotation_conversion:
converter: imagenet
annotation_file: val15.txt
annotation: imagenet1000_2015.pickle
data_source: ILSVRC2012_img_val
metrics:
- name: accuracy@top1
type: accuracy
top_k: 1
- name: accuracy@top5
type: accuracy
top_k: 5
- name: imagenet_1001_classes
annotation_conversion:
converter: imagenet
annotation_file: val.txt
has_background: True
annotation: imagenet1001.pickle
data_source: ILSVRC2012_img_val
metrics:
- name: accuracy@top1
type: accuracy
top_k: 1
- name: accuracy@top5
type: accuracy
top_k: 5
- name: VOC2012
annotation_conversion:
converter: voc_detection
annotations_dir: VOCdevkit/VOC2012/Annotations
images_dir: VOCdevkit/VOC2012/JPEGImages
imageset_file: VOCdevkit/VOC2012/ImageSets/Main/val.txt
data_source: VOCdevkit/VOC2012/JPEGImages
annotation: voc12.pickle
dataset_meta: voc12.json
postprocessing:
- type: resize_prediction_boxes
metrics:
- type: map
integral: 11point
ignore_difficult: True
presenter: print_scalar
- name: VOC2012_without_background
annotation_conversion:
converter: voc_detection
annotations_dir: VOCdevkit/VOC2012/Annotations
images_dir: VOCdevkit/VOC2012/JPEGImages
imageset_file: VOCdevkit/VOC2012/ImageSets/Main/val.txt
has_background: False
data_source: VOCdevkit/VOC2012/JPEGImages
annotation: voc12_without_background.pickle
dataset_meta: voc12_without_background.json
postprocessing:
- type: resize_prediction_boxes
metrics:
- type: map
integral: 11point
ignore_difficult: True
presenter: print_scalar
- name: VOC2012_Segmentation
annotation_conversion:
converter: voc_segmentation
imageset_file: VOCdevkit/VOC2012/ImageSets/Segmentation/val.txt
images_dir: VOCdevkit/VOC2012/JPEGImages/
mask_dir: VOCdevkit/VOC2012/SegmentationClass/
data_source: VOCdevkit/VOC2012/JPEGImages/
segmentation_masks_source: VOCdevkit/VOC2012/SegmentationClass/
annotation: voc2012_segmentation.pickle
dataset_meta: voc2012_segmentation.json
- name: wider
data_source: WIDER_val/images
annotation_conversion:
converter: wider
annotation_file: wider_face_split/wider_face_val_bbx_gt.txt
annotation: wider.pickle
dataset_meta: wider.json
- name: wider_without_bkgr
data_source: WIDER_val/images
annotation_conversion:
converter: wider
annotation_file: wider_face_split/wider_face_val_bbx_gt.txt
label_start: 0
annotation: wider_0.pickle
dataset_meta: wider_0.json
- name: facial_landmarks_35
data_source: VOCdevkit/VOC2012/JPEGImages
annotation_conversion:
converter: cvat_facial_landmarks
annotation_file: 3632_OMZ_task3_facial_landmarks_35_adas.xml
annotation: facial_landmarks_35.pickle
preprocessing:
- type: resize
size: 60
postprocessing:
- type: normalize_landmarks_points
- name: emotions_recognition
data_source: VOCdevkit/VOC2012/JPEGImages
annotation_conversion:
converter: cvat_attributes_recognition
annotation_file: 3631_OMZ_task2_emotions_recognition.xml
label: face
annotation: emotions_recognition.pickle
dataset_meta: emotions_recognition.json
preprocessing:
- type: extend_around_rect
augmentation_param: 0.3
- type: crop_rect
- type: resize
size: 64
- name: age_gender
data_source: ILSVRC2012_img_val
annotation_conversion:
converter: cvat_age_gender
annotation_file: 3630_OMZ_task1_age_gender.xml
annotation: age_gender.pickle
dataset_meta: age_gender.json
- name: vehicle_attributes
data_source: val2017
annotation_conversion:
converter: cvat_attributes_recognition
annotation_file: 3634_OMZ_task8_vehicle_attributes_recognition_barrier_0039.xml
label: vehicle
annotation: vehicle_attributes.pickle
dataset_meta: vehicle_attributes.json
- name: vehicle_attributes_0042
data_source: val2017
annotation_conversion:
converter: cvat_attributes_recognition
annotation_file: 3634_OMZ_task8_vehicle_attributes_recognition_barrier_0039.xml
label: vehicle
annotation: vehicle_attributes.pickle
dataset_meta: vehicle_attributes.json
- name: person_8_attributes
data_source: ILSVRC2012_img_val
annotation_conversion:
converter: cvat_multilabel_binary_attributes_recognition
annotation_file: 3640_OMZ_task6_person_attributes_recognition_crossroad_0230.xml
label: person
annotation: person_8_attributes.pickle
dataset_meta: person_8_attributes.json
- name: vehicle_license_plate_detection
data_source: ILSVRC2012_img_val
annotation_conversion:
converter: cvat_object_detection
annotation_file: 3638_OMZ_task13_vehicle_license_plate_detection_barrier_0106.xml
has_background: True
annotation: vlpd.pickle
dataset_meta: vlpd.json
- name: action_detection_dataset_3_classes
data_source: WIDER_val/images/44--Aerobics
annotation_conversion:
converter: cvat_person_detection_action_recognition
use_case: common_3_actions
annotation_file: 3766_OMZ_task14_person-detection-raisinghand-recognition-0001.xml
annotation: action_detection_3classes.pickle
dataset_meta: action_detection_3classes.json
- name: action_detection_dataset_6_classes
data_source: WIDER_val/images/44--Aerobics
annotation_conversion:
converter: cvat_person_detection_action_recognition
use_case: common_6_actions
annotation_file: 3766_OMZ_task14_person-detection-raisinghand-recognition-0001.xml
annotation: action_detection_6classes.pickle
dataset_meta: action_detection_6classes.json
- name: action_detection_dataset_teacher
data_source: WIDER_val/images/44--Aerobics
annotation_conversion:
converter: cvat_person_detection_action_recognition
use_case: teacher
annotation_file: 3766_OMZ_task14_person-detection-raisinghand-recognition-0001.xml
annotation: action_detection_teacher.pickle
dataset_meta: action_detection_teacher.json
- name: action_detection_dataset_raising_hand
data_source: WIDER_val/images/44--Aerobics
annotation_conversion:
converter: cvat_person_detection_action_recognition
use_case: raising_hand
annotation_file: 3766_OMZ_task14_person-detection-raisinghand-recognition-0001.xml
annotation: action_detection_raising_hand.pickle
dataset_meta: action_detection_raising_hand.json
- name: person_detection
data_source: val2017
annotation_conversion:
converter: mscoco_detection
annotation_file: person_keypoints_val2017.json
has_background: True
sort_annotations: True
use_full_label_map: True
annotation: mscoco_person_detection.pickle
dataset_meta: mscoco_person_detection.json
- name: mscoco_person_detection
data_source: val2017
annotation_conversion:
converter: mscoco_detection
annotation_file: person_keypoints_val2017.json
has_background: True
sort_annotations: True
use_full_label_map: True
annotation: mscoco_person_detection.pickle
dataset_meta: mscoco_person_detection.json
- name: crossroad_dataset_1016
data_source: val2017
annotation_conversion:
converter: cvat_object_detection
annotation_file: 3637_OMZ_task12_person_vehicle_bike_detection_crossroad_0078.xml
labels_file: person-vehicle-bike-detection-crossroad-1016-labels.json
has_background: True
annotation: crossroad-1016.pickle
dataset_meta: crossroad-1016.json
- name: crossroad_dataset_0078
data_source: val2017
annotation_conversion:
converter: cvat_object_detection
annotation_file: 3637_OMZ_task12_person_vehicle_bike_detection_crossroad_0078.xml
labels_file: person-vehicle-bike-detection-crossroad-0078-labels.json
has_background: True
annotation: crossroad-0078.pickle
dataset_meta: crossroad-0078.json
- name: crossroad_extra_untagged
data_source: crossroad_extra_untagged/val_data
annotation_conversion:
converter: mscoco_detection
annotation_file: crossroad_extra_untagged/val_coco_no_bg.json
has_background: False
sort_annotations: True
use_full_label_map: False
annotation: crossroad_extra_untagged.pickle
dataset_meta: crossroad_extra_untagged.json
- name: crossroad_extra_untagged_person
data_source: crossroad_extra_untagged/val_data
annotation_conversion:
converter: mscoco_detection
annotation_file: crossroad_extra_untagged/val_coco_no_bg_person.json
has_background: False
sort_annotations: True
use_full_label_map: False
annotation: crossroad_extra_untagged_person.pickle
dataset_meta: crossroad_extra_untagged_person.json
- name: crossroad_extra_untagged_person_hb
data_source: crossroad_extra_untagged/val_data
annotation_conversion:
converter: mscoco_detection
annotation_file: crossroad_extra_untagged/val_coco_no_bg_person.json
has_background: True
sort_annotations: True
use_full_label_map: False
annotation: crossroad_extra_untagged_person_hb.pickle
dataset_meta: crossroad_extra_untagged_person_hb.json
- name: crossroad_extra_untagged_vehicle
data_source: crossroad_extra_untagged/val_data
annotation_conversion:
converter: mscoco_detection
annotation_file: crossroad_extra_untagged/val_coco_no_bg_vehicle.json
has_background: False
sort_annotations: True
use_full_label_map: False
annotation: crossroad_extra_untagged_vehicle.pickle
dataset_meta: crossroad_extra_untagged_vehicle.json
- name: crossroad_extra_untagged_vehicle_labels_from_1
data_source: crossroad_extra_untagged/val_data
annotation_conversion:
converter: mscoco_detection
annotation_file: crossroad_extra_untagged/val_coco_no_bg_vehicle.json
has_background: True
annotation: crossroad_extra_untagged_vehicle_labels_from_1.pickle
dataset_meta: crossroad_extra_untagged_vehicle_labels_from_1.json
- name: pedestrian_and_vehicle_dataset
data_source: val2017
annotation_conversion:
converter: cvat_object_detection
annotation_file: 3636_OMZ_task11_pedestrian_and_vehicle_detector_adas_0001.xml
labels_file: pedestrian-and-vehicle-labels.json
has_background: True
annotation: pedestrian_and_vehicle.pickle
dataset_meta: pedestrian_and_vehicle.json
- name: pedestrian_detection_dataset
data_source: val2017
annotation_conversion:
converter: cvat_object_detection
annotation_file: 3636_OMZ_task11_pedestrian_and_vehicle_detector_adas_0001.xml
labels_file: pedestrian-detection-labels.json
has_background: True
annotation: pedestrian_detection.pickle
dataset_meta: pedestrian_detection.json
- name: vehicle_detection_dataset
data_source: val2017
annotation_conversion:
converter: cvat_object_detection
annotation_file: 3636_OMZ_task11_pedestrian_and_vehicle_detector_adas_0001.xml
labels_file: vehicle-detection-labels.json
has_background: True
annotation: vehicle_detection.pickle
dataset_meta: vehicle_detection.json
- name: barrier_vehicle_detection_dataset_index_class_2
data_source: val2017
annotation_conversion:
converter: cvat_object_detection
annotation_file: 3636_OMZ_task11_pedestrian_and_vehicle_detector_adas_0001.xml
labels_file: vehicle-detection-labels.json
has_background: True
annotation: vehicle_detection.pickle
dataset_meta: vehicle_detection.json
- name: synthetic_chinese_license_plates
data_source: Synthetic_Chinese_License_Plates
annotation_conversion:
converter: lpr_txt
annotation_file: Synthetic_Chinese_License_Plates/annotation
decoding_dictionary_file: dict
annotation: lpr.pickle
dataset_meta: lpr.json
preprocessing:
- type: resize
dst_width: 94
dst_height: 24
- name: image_retrieval
data_source: textile_crops
annotation_conversion:
converter: image_retrieval
data_dir: textile_crops
gallery_annotation_file: textile_crops/gallery/gallery.txt
queries_annotation_file: textile_crops/queries/quieries.txt
annotation: textile.pickle
dataset_meta: textile.json
preprocessing:
- type: resize
size: 224
- name: lfw
data_source: LFW/lfw
annotation_conversion:
converter: lfw
pairs_file: LFW/annotation/pairs.txt
landmarks_file: LFW/annotation/lfw_landmark.txt
annotation: lfw.pickle
metrics:
- type: pairwise_accuracy_subsets
subset_number: 2
- name: ICDAR2015
data_source: ICDAR15_DET/ch4_test_images
annotation_conversion:
converter: icdar_detection
data_dir: ICDAR15_DET/gt
annotation: icdar15_detection.pickle
- name: ICDAR2015_word_spotting
data_source: ICDAR15_DET/ch4_test_images
annotation_conversion:
converter: icdar_detection
word_spotting: True
data_dir: ICDAR15_DET/gt
annotation: icdar15_detection.pickle
- name: ICDAR2013_detection
data_source: ICDAR13_DET
annotation_conversion:
converter: icdar_detection
data_dir: ICDAR13_DET/gt
annotation: icdar13_detection.pickle
- name: ICDAR2013
data_source: ICDAR13_REC/Challenge2_Test_Task3_Images
annotation_conversion:
converter: icdar13_recognition
annotation_file: ICDAR13_REC/gt/gt.txt.fixed.alfanumeric
annotation: icdar13_recognition.pickle
dataset_meta: icdar13_recognition.json
- name: ICDAR2013_detection
data_source: ICDAR13_DET
annotation_conversion:
converter: icdar_detection
data_dir: ICDAR13_DET/gt
annotation: icdar13_detection.pickle
- name: im2latex_medium_rendered
data_source: im2latex_medium_rendered/images_processed
annotation_conversion:
converter: im2latex_formula_recognition
data_dir: im2latex_medium_rendered
images_dir: im2latex_medium_rendered/images_processed
formula_file: im2latex_medium_rendered/formulas.norm.lst
split_file: im2latex_medium_rendered/validate_filter.lst
vocab_file: im2latex_medium_rendered/vocab.json
annotation: im2latex_medium_rendered.pickle
dataset_meta: im2latex_medium_rendered.json
- name: im2latex_medium_photographed
data_source: im2latex_medium_photographed/images_processed
annotation_conversion:
converter: im2latex_formula_recognition
data_dir: im2latex_medium_photographed
images_dir: im2latex_medium_photographed/images_processed
formula_file: im2latex_medium_photographed/formulas.norm.lst
split_file: im2latex_medium_photographed/test_filter.lst
vocab_file: im2latex_medium_photographed/vocab.pkl
annotation: im2latex_medium_photographed.pickle
dataset_meta: im2latex_medium_photographed.json
- name: market1501
data_source: Market-1501-v15.09.15
annotation_conversion:
converter: market1501_reid
data_dir: Market-1501-v15.09.15
annotation: market1501_reid.pickle
- name: veri776
data_source: VeRi-776
annotation_conversion:
converter: veri776_reid
data_dir: VeRi-776
annotation: veri776_reid.pickle
- name: reid_dataset
data_source: Market-1501-v15.09.15
annotation_conversion:
converter: market1501_reid
data_dir: Market-1501-v15.09.15
annotation: market1501_reid.pickle
- name: vgg2face
data_source: VGGFaces2/test
annotation_conversion:
converter: vgg_face
landmarks_csv_file: VGGFaces2/bb_landmark/loose_landmark_test.csv
bbox_csv_file: VGGFaces2/bb_landmark/loose_bb_test.csv
annotation: vggfaces2.pickle
dataset_meta: vggfaces2.json
- name: semantic_segmentation_adas
data_source: segmentation/images
segmentation_masks_source: segmentation/mask_segmentation_adas
annotation_conversion:
converter: common_semantic_segmentation
images_dir: segmentation/images
masks_dir: segmentation/mask_segmentation_adas
image_postfix: .JPEG
mask_postfix: .png
dataset_meta: segmentation/mask_segmentation_adas/dataset_meta.json
annotation: semantic_segmentation_adas.pickle
dataset_meta: semantic_segmentation_adas.json
preprocessing:
- type: resize
dst_height: 1024
dst_width: 2048
postprocessing:
- type: encode_segmentation_mask
apply_to: annotation
- type: resize_segmentation_mask
apply_to: annotation
dst_height: 1024
dst_width: 2048
- name: road_segmentation
data_source: segmentation/images
segmentation_masks_source: segmentation/mask_road_segmentation
annotation_conversion:
converter: common_semantic_segmentation
images_dir: segmentation/images
masks_dir: segmentation/mask_road_segmentation
image_postfix: .JPEG
mask_postfix: .png
dataset_meta: segmentation/mask_road_segmentation/dataset_meta.json
annotation: road_segmentation.pickle
dataset_meta: road_segmentation.json
preprocessing:
- type: resize
dst_height: 512
dst_width: 896
postprocessing:
- type: encode_segmentation_mask
apply_to: annotation
- type: resize_segmentation_mask
apply_to: annotation
dst_height: 512
dst_width: 896
metrics:
- type: mean_iou
presenter: print_vector
- type: mean_accuracy
presenter: print_vector
- name: super_resolution_x3
data_source: super_resolution
annotation_conversion:
converter: super_resolution
data_dir: super_resolution
lr_suffix: lr_x3
upsample_suffix: upsample_x3
hr_suffix: hr
two_streams: True
annotation: super_resolution_x3.pickle
metrics:
- type: psnr
scale_border: 4
presenter: print_vector
- name: super_resolution_x4
data_source: super_resolution
annotation_conversion:
converter: super_resolution
data_dir: super_resolution
lr_suffix: lr_x4
upsample_suffix: upsample_x4
hr_suffix: hr
two_streams: True
annotation: super_resolution_x4.pickle
metrics:
- type: psnr
scale_border: 4
presenter: print_vector
- name: text_super_resolution_x3
data_source: super_resolution
annotation_conversion:
converter: super_resolution
data_dir: super_resolution
lr_suffix: lr_x3
hr_suffix: hr_gray
annotation: text_super_resolution_x3.pickle
preprocessing:
- type: bgr_to_gray
metrics:
- type: psnr
scale_border: 4
presenter: print_vector
- name: head_pose
data_source: WIDER_val/images/16--Award_Ceremony
annotation: head_pose.pickle
preprocessing:
- type: crop_rect
- type: resize
size: 60
- name: gaze_estimation_dataset
data_source: gaze_estimation
annotation: gaze_estimation.pickle
reader:
type: combine_reader
scheme:
".*.png": opencv_imread
".*.json":
type: json_reader
key: head_pose_angles
- name: handwritten_score_recognition
data_source: ILSVRC2012_img_val
annotation: handwritten_score_recognition.pickle
dataset_meta: handwritten_score_recognition.json
- name: cmu_panoptic_keypoints
data_source: cmu_panoptic_subset
annotation_conversion:
converter: cmu_panoptic_keypoints
data_dir: cmu_panoptic_subset
annotation: cmu_panoptic_keypoints.pickle
- name: kinetics-400
data_source: kinetics/frames_val
annotation_conversion:
converter: clip_action_recognition
annotation_file: kinetics/kinetics_400.json
data_dir: kinetics/frames_val
annotation: kinetics_action_recognition.pickle
dataset_meta: kinetics_action_recognition.json
- name: kinetics-400-frames-79
data_source: kinetics/frames_val
annotation_conversion:
converter: clip_action_recognition
annotation_file: kinetics/kinetics_400.json
data_dir: kinetics/frames_val
clip_duration: 79
annotation: kinetics_action_recognition_79.pickle
dataset_meta: kinetics_action_recognition_79.json
- name: kinetics-400-frames-79-400
data_source: kinetics/frames_val
annotation_conversion:
converter: clip_action_recognition
annotation_file: kinetics/kinetics_400.json
data_dir: kinetics/frames_val
clip_duration: 79
temporal_stride: 1
num_samples: 400
annotation: kinetics_action_recognition_79_400.pickle
dataset_meta: kinetics_action_recognition_79_400.json
- name: driver_action_recognition_dataset
data_source: kinetics/frames_val
annotation_conversion:
converter: clip_action_recognition
annotation_file: kinetics/driver_action_recognition.json
data_dir: kinetics/frames_val
annotation: driver_action_recognition.pickle
dataset_meta: driver_action_recognition.json
- name: BraTS
data_source: BraTS
reader: numpy_reader
annotation_conversion:
converter: brats_numpy
data_dir: BraTS
ids_file: BraTS/val_ids.p
labels_file: BraTS/labels
annotation: brats.pickle
dataset_meta: brats.json
- name: BraTS_2017
data_source: BraTS_2017
reader:
type: nifti_reader
channels_first: True
annotation_conversion:
converter: brats
data_dir: BraTS_2017
labels_file: BraTS_2017/labels
mask_channels_first: True
annotation: brats2017.pickle
dataset_meta: brats2017.json
- name: product_detection
annotation: product_detection.pickle
dataset_meta: product_detection.json
data_source: product_detection
metrics:
- type: coco_precision
- name: ms_coco_single_keypoints
data_source: val2017
annotation_conversion:
converter: mscoco_single_keypoints
annotation_file: person_keypoints_val2017.json
annotation: mscoco_single_keypoints.pickle
dataset_meta: mscoco_single_keypoints.json
metrics:
- name: AP
type: coco_orig_keypoints_precision
- name: CamVid
data_source: CamVid
annotation_conversion:
converter: camvid
annotation_file: CamVid/val.txt
annotation: camvid.pickle
dataset_meta: camvid.json
- name: msasl-100
data_source: msasl/global_crops
annotation_conversion:
converter: continuous_clip_action_recognition
annotation_file: msasl/msasl_100.txt
data_dir: msasl/global_crops
out_fps: 15
clip_length: 16
annotation: msasl_action_recognition.pickle
- name: ReDWeb_V1
data_source: ReDWeb_V1
annotation_conversion:
converter: redweb
data_dir: ReDWeb_V1
annotation_file: ReDWeb_validation_360.txt
annotation: mono_depth.pickle
- name: Kondate_nakayosi
data_source: Kondate/test_data
annotation_conversion:
converter: unicode_character_recognition
decoding_char_file: Kondate_nakayosi/kondate_nakayosi_char_list.txt
annotation_file: Kondate_nakayosi/test_img_id_gt.txt
annotation: kondate_nakayosi_recognition.pickle
dataset_meta: kondate_nakayosi_recognition.json
- name: inpainting_free_form_masks
data_source: VOCdevkit/VOC2012/JPEGImages/
annotation_conversion:
converter: inpainting
images_dir: VOCdevkit/VOC2012/JPEGImages/
masks_dir: free_form_masks/masks_2k
annotation: inpainting_voc12_masks2k.pickle
- name: mrlEyes_2018_01
annotation_conversion:
converter: mrlEyes_2018_01
data_dir: mrlEyes_2018_01
annotation: mrlEyes_2018_01.pickle
dataset_meta: mrlEyes_2018_01.json
data_source: mrlEyes_2018_01
- name: ms_coco_style_transfer
data_source: val2017
annotation_conversion:
converter: style_transfer
images_dir: val2017
metrics:
- type: psnr
scale_border: 0
presenter: print_vector
- type: ssim
presenter: print_vector
annotation: style_transfer_val2017.pickle
- name: squad_v1_1_msl384_mql64_ds128_lowercase
annotation_conversion:
converter: squad
testing_file: squad_v1.1/dev-v1.1.json
max_seq_length: 384
max_query_length: 64
doc_stride: 128
lower_case: true
vocab_file: vocab.txt
- name: squad_emb_v1_1_msl384_mql32_lowercase
annotation_conversion:
converter: squad_emb
testing_file: squad_v1.1/dev-v1.1.json
vocab_file: vocab.txt
max_seq_length: 384
max_query_length: 32
lower_case: true
- name: librispeech-test-clean
data_source: librispeech/test/LibriSpeech/test-clean.wav
annotation_conversion:
converter: librispeech
data_dir: librispeech/test/LibriSpeech/test-clean.wav
annotation: librispeech-test-clean.pickle
metrics:
- name: wer
- name: librispeech-dev-clean
data_source: librispeech/dev/LibriSpeech/dev-clean.wav
annotation_conversion:
converter: librispeech
data_dir: librispeech/dev/LibriSpeech/dev-clean.wav
annotation: librispeech-dev-clean.pickle
metrics:
- name: wer
- name: WMT_en_ru
annotation_conversion:
converter: wmt
input_file: wmt19-ru-en.en.spbpe
reference_file: wmt19-ru-en.ru.spbpe
reader:
type: annotation_features_extractor
features:
- source
preprocessing:
- type: decode_by_sentence_piece_bpe_tokenizer
vocabulary_file: tokenizer_src/vocab.json
merges_file: tokenizer_src/merges.txt
- type: pad_with_eos
eos_index: 1
sequence_len: 192
- name: WMT_ru_en
annotation_conversion:
converter: wmt
input_file: wmt19-ru-en.ru.spbpe
reference_file: wmt19-ru-en.en.spbpe
reader:
type: annotation_features_extractor
features:
- source
preprocessing:
- type: decode_by_sentence_piece_bpe_tokenizer
vocabulary_file: tokenizer_src/vocab.json
merges_file: tokenizer_src/merges.txt
- type: pad_with_eos
eos_index: 1
sequence_len: 192
- name: NYU_Depth_V2
data_source: nyudepthv2/val/converted/images
additional_data_source: nyudepthv2/val/converted/depth
annotation_conversion:
converter: nyu_depth_v2
images_dir: nyudepthv2/val/converted/images
depth_map_dir: nyudepthv2/val/converted/depth
data_dir: nyudepthv2/val/official
- name: SCUT_EPT
data_source: SCUT_EPT/test
annotation_conversion:
converter: unicode_character_recognition
decoding_char_file: SCUT_EPT/scut_ept_char_list.txt
annotation_file: SCUT_EPT/test_img_id_gt.txt
annotation: scut_ept_recognition.pickle
dataset_meta: scut_ept_recognition.json
- name: ADEChallengeData2016
annotation_conversion:
converter: ade20k
images_dir: ADEChallengeData2016/images/validation
annotations_dir: ADEChallengeData2016/annotations/validation
object_categories_file: ADEChallengeData2016/objectInfo150.txt
data_source: ADEChallengeData2016/images/validation
segmentation_masks_source: ADEChallengeData2016/annotations/validation