Datasets:

ArXiv:
File size: 19,634 Bytes
c0ecd4f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
{
  "Behavior Recognition": [
    {
      "Sports Image Classification": "sports_image_classification"
    }
  ],
  "Image Caption": [
    {
      "Instagram Image Caption": "instagram_image_caption"
    },
    {
      "Satellite Image Caption": "satellite_image_caption"
    },
    {
      "Astronomy Image Captioning": "astronomy-image-captioning"
    }
  ],
  "Image Instance Segmentation": [
    {
      "Pedestrian Instance Segmentation": "pedestrian_instance_segmentation"
    },
    {
      "Vehicle Instance Segmentation": "vehicle_instance_segmentation"
    }
  ],
  "Image OCR": [
    {
      "Handwriting OCR": "handwriting-component-detection"
    },
    {
      "Letter and Number OCR": "letter_and_number_ocr"
    },
    {
      "License Plate OCR": "license_plate_ocr"
    },
    {
      "Radical-Level Oracle Bone Character Recognition": "Radical-LevelOracleBoneCharacterRecognition"
    }
  ],
  "Image Recognition": [
    {
      "Latex Code Recognition": "Latex Code Recognition"
    }
  ],
  "Image Semantic Segmentation": [
    {
      "Indoor Semantic Segmentation": "indoor_semantic_segmentation"
    },
    {
      "Pedestrian Semantic Segmentation": "pedestrian_semantic_segmentation"
    },
    {
      "Road Semantic Segmentation": "Road_Semantic_Segmentation"
    },
    {
      "Vehicle Semantic Segmentation": "vehicle_semantic_segmentation"
    },
    {
      "People Clothing Segmentation": "people-clothing-segmentation"
    },
    {
      "Flood Area Segmentation": "flood-area-segmentation"
    }
  ],
  "Image Visual Grounding": [
    {
      "Short Expression Visual Grounding": "short_expression_visual_grounding"
    }
  ],
  "Image Visual Question Answering": [
    {
      "External Knowledge Required Image Question Answering": "Internet-Retrieved-InformationVisualQuestionAnswering"
    },
    {
      "Medical Image Question Answering": "medical_image_qa"
    },
    {
      "Reasoning and Compositional Image Question Answering": "reasoning_and_compositional_image_qa"
    },
    {
      "Geography Visual Question Answering": "geography_vqa"
    },
    {
      "Geometry Visual Question Answering": "geometry_vqa"
    },
    {
      "Lung Nodule Diagnosis Visual Question Answering": "lung_nodule_diagnosis_vqa"
    },
    {
      "Mathematical Statistical Reasoning Visual Question Answering": "mathematical_statistical_reasoning_vqa"
    },
    {
      "Mathematical Textbook Visual Question Answering": "mathematical_textbook_vqa"
    },
    {
      "Mathematical Word Problem Visual Question Answering": "mathematical_word_problem_vqa"
    },
    {
      "Physics Visual Question Answering": "physics_vqa"
    },
    {
      "Mathematical Synthetic Scene Visual Question Answering": "mathematical_synthetic_scene_vqa"
    },
    {
      "Remote Sense Visual Question Answering": "remote_sense_vqa"
    },
    {
      "Skin Disease Visual Question Answering": "skin_disease_diagnosis_vqa"
    },
    {
      "Internet-Retrieved-Information Visual Question Answering": "Internet-Retrieved-InformationVisualQuestionAnswering"
    },
    {
      "Webpage Content Visual Question Answering": "WebpageContentVisualQuestionAnswering"
    },
    {
      "Sporting-related VQA": "Sporting-relatedVQA"
    },
    {
      "Financial Dialogue VQA": "FinancialDialogueVQA"
    },
    {
      "Historical Multi-Source Dialogue": "HistoricalMulti-SourceDialogue"
    },
    {
      "Multi-Turn Interactive Dialogue": "Multi-TurnInteractiveDialogue"
    },
    {
      "Complex Multi-Scenario Dialogue": "ComplexMulti-ScenarioDialogue"
    },
    {
      "Multimodal Slide Question Answering": "MultimodalSlideQuestionAnswering"
    },
    {
      "Multimodal Document VQA": "MultimodalDocumentVQA"
    },
    {
      "Multimodal Document Fine-grained Reasoning": "MultimodalDocumentFine-grainedReasoning"
    },
    {
      "Textbook Diagram VQA": "TextbookDiagramVQA"
    },
    {
      "Education-Related VQA": "Education-RelatedVQA"
    },
    {
      "Book Information VQA": "BookInformationVQA"
    },
    {
      "Textual Document VQA": "TextualDocumentVQA"
    },
    {
      "Text-Table-Image Joint Reasoning": "Text-Table-ImageJointReasoning"
    },
    {
      "Handwritten Formula Visual Question Answering": "Handwritten_Formula_Visual_Question_Answering"
    },
    {
      "Face Comparison Visual Question Answering": "Face_Comparison_Visual_Question_Answering"
    },
    {
      "Image Similarity Visual Question Answering": "Image_Similarity_Visual_Question_Answering"
    },
    {
      "Art Image Visual Question Answering": "ArtImageVisualQuestionAnswering"
    },
    {
      "Culture Image Visual Question Answering": "CultureImageVisualQuestionAnswering"
    },
    {
      "Imge Editing Instruction Generation": "image_editing_instruction_generation"
    }
  ],
  "Industrial Anomaly Detection": [
    {
      "Bottle Anomaly Detection": "BottleAnomalyDetection"
    },
    {
      "Cable Anomaly Detection": "CableAnomalyDetection"
    },
    {
      "Capsule Anomaly Detection": "CapsuleAnomalyDetection"
    },
    {
      "Carpet Anomaly Detection": "CarpetAnomalyDetection"
    },
    {
      "Grid Anomaly Detection": "GridAnomalyDetection"
    },
    {
      "Hazelnut Anomaly Detection": "HazelnutAnomalyDetection"
    },
    {
      "Leather Anomaly Detection": "LeatherAnomalyDetection"
    },
    {
      "Metal Nut Anomaly Detection": "MetalNutAnomalyDetection"
    },
    {
      "Pill Anomaly Detection": "PillAnomalyDetection"
    },
    {
      "Screw Anomaly Detection": "ScrewAnomalyDetection"
    },
    {
      "Tile Anomaly Detection": "TileAnomalyDetection"
    },
    {
      "Toothbrush-Anomaly Detection": "ToothbrushAnomalyDetection"
    },
    {
      "Transistor Anomaly Detection": "TransistorAnomalyDetection"
    },
    {
      "Wood Anomaly Detection": "WoodAnomalyDetection"
    },
    {
      "Zipper Anomaly Detection": "ZipperAnomalyDetection"
    }
  ],
  "Medical Segmentation": [
    {
      "COVID-19 CT Scan Lesion Segmentation": "COVID-19CTScanLesionSegmentation"
    },
    {
      "Hubmap Organ Segmentation": "HubmapOrganSegmentation"
    },
    {
      "Lung segmentation": "LungSegmentation"
    },
    {
      "Bacteria Segmentation": "BacteriaSegmentation"
    },
    {
      "Tuberculosis X-ray Segmentation": "tuberculosis_xray_segmentation"
    }
  ],
  "Code Generation": [
    {
      "Sketch-to-HTML Code Generation": "sketch2html_code_generation"
    }
  ],
  "Keypoint Detection": [
    {
      "Person Keypoint Detection": "person_keypoint_detection"
    }
  ],
  "Multi-image Visual Question Answering": [
    {
      "Image Pair Multi-Attribute Question Answering": "Image_Pair_Multi-Attribute_Question_Answering"
    },
    {
      "Numerical Dual Image Description Verification": "Numerical_Dual_Image_Description_Verification"
    },
    {
      "Aircraft Model Matching": "Aircraft_Model_Matching"
    },
    {
      "Car Model Matching": "Car_Model_Matching"
    },
    {
      "Pose and Activity Consistency Verification": "Pose_and_Activity_Consistency_Verification"
    },
    {
      "Digital Consistency Comparison": "Digital_Consistency_Comparison"
    }
  ],
  "Multimodal Dialogue": [
    {
      "Egocentric Daily Tasks Action Planning": "EgocentricDailyTasksActionPlanning"
    },
    {
      "Context-Aware Embodied Agent Dialogue": "Context-AwareEmbodiedAgentDialogue"
    },
    {
      "Embodied Navigating Visual Question Answering": "EmbodiedNavigatingVisualQuestionAnswering"
    },
    {
      "Environment-Based Next-action Description": "Environment-BasedNext-actionDescription"
    },
    {
      "Multimodal Decision-making Reasoning": "MultimodalDecision-makingReasoning"
    },
    {
      "Comic Dialogue Completion": "ComicDialogueCompletion"
    }
  ],
  "Multimodal Reasoning": [
    {
      "Fashion Concept Visual Question Answering": "FashionConceptVisualQuestionAnswering"
    },
    {
      "Cloth Color Visual Question Answering": "ClothColorVisualQuestionAnswering"
    },
    {
      "Multi-Image Visual Entailment Reasoning": "Multi-ImageVisualEntailmentReasoning"
    },
    {
      "Visual Step Completion": "VisualStepCompletion"
    },
    {
      "Recipe Ingredient Description": "RecipeIngredientDescription"
    },
    {
      "Visual Step Matching Reasoning": "VisualStepMatchingReasoning"
    },
    {
      "Industrial Inspection Multi-Image Reasoning": "IndustrialInspectionMulti-ImageReasoning"
    },
    {
      "Property Coherence Reasoning": "PropertyCoherenceReasoning"
    },
    {
      "Recipe Completion": "RecipeCompletion"
    },
    {
      "Comic Panel VQA": "ComicPanelVQA"
    },
    {
      "Abduction-based VQA": "Abduction-basedVQA"
    },
    {
      "Dual-Image Causal-and-Effect Reasoning": "Dual-ImageCausal-and-EffectReasoning"
    },
    {
      "Driving Recording Reasoning": "DrivingRecordingReasoning"
    },
    {
      "Attribute Congruity Reasoning": "AttributeCongruityReasoning"
    }
  ],
  "Object Counting": [
    {
      "Seed Counting": "seed_counting"
    },
    {
      "Vehicle Counting": "vehicle_counting"
    }
  ],
  "Multimodal Neural Translation": [
    {
      "Multimodal Neural Translation": "Multimodal_Neural_Translation"
    }
  ],
  "Object Detection": [
    {
      "Small Object Detection": "small_object_detection"
    },
    {
      "Traffic Signs Detection": "traffic_signs_detection"
    },
    {
      "Medical Device Detection": "medical-device-detection"
    },
    {
      "Wound Detection": "wound-detection"
    },
    {
      "Gauge Detection": "gauge-detection"
    },
    {
      "Parking Space Detection": "parking-space-detection"
    },
    {
      "Tree Detection": "tree-detection"
    },
    {
      "Traffic Light Detection": "traffic-light-detection"
    },
    {
      "rock-paper-scissors-gesture-detection": "rock-paper-scissors-gesture-detection"
    },
    {
      "Price Tag Detection and Text Grounding": "price-tag-detection-and-text-grounding"
    },
    {
      "Retail Object Detection": "retail-object-detection"
    },
    {
      "Exit Sign Detection": "exit-sign-detection"
    },
    {
      "Handwriting Component Detection": "handwriting-component-detection"
    },
    {
      "Sign Language Detection": "sign-language-detection"
    },
    {
      "football player detection": "football-player-detection"
    },
    {
      "Pest Detection": "pest-detection"
    },
    {
      "Underwater garbage Detection": "underwater-garbage-detection"
    },
    {
      "Food Detection": "food-detection"
    },
    {
      "Circuit Elements Detection": "circuit-elements-detection"
    },
    {
      "Tabular Data Detection": "tabular-data-detection"
    },
    {
      "Radio-Spectrogram Detection": "radio-spectrogram-detection"
    },
    {
      "Empty Shelf Detection": "empty-shelf-detection"
    },
    {
      "Tomato Detection": "tomato-detection"
    },
    {
      "Drone Detection": "drone-detection"
    },
    {
      "Bee Detection": "tree-detection"
    },
    {
      "Cat Faces Detection": "cat-faces-detection"
    },
    {
      "Bird Detection": "BirdDetection"
    },
    {
      "Deepfish Detection": "DeepfishDetection"
    },
    {
      "Raccoon Detection": "RaccoonDetection"
    },
    {
      "Ship Detection": "ShipDetection"
    },
    {
      "Weed Detection": "WeedDetection"
    },
    {
      "Radar Ship Detection": "Radar_Ship_Detection"
    }
  ],
  "Object Matting": [
    {
      "Animal Image Matting": "AnimalImageMatting"
    },
    {
      "Portrait Matting": "portrait_matting"
    },
    {
      "Text Manipulation Region Matting": "TextManipulationRegionMatting"
    },
    {
      "Person Hair Matting": "person-hair-matting"
    }
  ],
  "Object Recognition": [
    {
      "Animal Recognition": "AnimalRecognition"
    },
    {
      "Big Cat Image Recognition": "BigCatImageRecognition"
    },
    {
      "Fruit Recognition": "fruit_disease_recognition"
    },
    {
      "Vegetable Recognition": "vegetable_recognition"
    },
    {
      "Car Brands Recognition": "car_brands_recognition"
    },
    {
      "Damaged Egg Recognition": "damaged_egg_recognition"
    },
    {
      "Dog Breeds Recognition": "dog_breeds recognition"
    },
    {
      "Garbage Classification": "garbage_classification"
    },
    {
      "Mammal Recognition": "mammal_recognition"
    },
    {
      "Utensil Recognition": "utensil_recognition"
    },
    {
      "Bird Species Recognition": "bird-species-classification"
    },
    {
      "Chinese Fine Art Recognition": "chinese-fine-art"
    },
    {
      "Famous Iconic Women Recognition": "famous-iconic-women"
    },
    {
      "Text Manipulation Classification": "TextManipulationClassification"
    },
    {
      "Gender Recognition": "GenderRecognition"
    },
    {
      "Infrared/Thermal Image Classification": "Infrared_Thermal_Image_Classification"
    },
    {
      "Waste Item Image Classification": "waste-item-image-classification"
    },
    {
      "Image Style Classification": "image_style_classification"
    },
    {
      "Microorganism Image Classification": "microorganism_image_classification"
    },
    {
      "Deep Fake Detection": "deep_fake_detection"
    }
  ],
  "Panoptic Segmentation": [
    {
      "Road Scene Panoptic Segmentation": "road_scene_panoptic_segmentation"
    }
  ],
  "Pose Recognition": [
    {
      "Yoga Pose Recognition": "GenderRecognition"
    }
  ],
  "Relation Reasoning": [
    {
      "Classification of Visual Spatial Relationship": "Classification_of_Visual_Spatial_Relationship"
    },
    {
      "Description of Single Spatial Relationship": "Description_of_Single_Spatial_Relationship"
    },
    {
      "Description of Open-ended Spatial Relationship": "Description_of_Open-ended_Spatial_Relationship"
    }
  ],
  "RGBD Semantic Segmentation": [
    {
      "RGBD Semantic Segmentation": "rgbd_semantic_segmentation"
    }
  ],
  "Ripeness Recognition": [
    {
      "Strawberry Ripeness Recognition": "strawberry_ripeness_recognition"
    }
  ],
  "Safety Detection": [
    {
      "Fire Detection": "fire-detection"
    },
    {
      "Gun Detection": "gun-detection"
    },
    {
      "Construction Safety Equipment Detection": "construction-safety-equipment-detection"
    },
    {
      "Safety Vests Detection": "safety-vests-detection"
    },
    {
      "Fall Human Detection": "fall-human-detection"
    },
    {
      "Smoke Detection": "smoke-detection"
    },
    {
      "Helmet Detection": "helmet-detection"
    }
  ],
  "Scene Graph Generation": [
    {
      "Image Scene Graph Parsing": "lmage_Scene_Graph_Parsing"
    }
  ],
  "Scene Recognition": [
    {
      "Terrain Recognition": "terrain_recognition"
    }
  ],
  "Sign Language Recognition": [
    {
      "American Sign Language Recognition": "AmericanSignLanguageRecognition"
    }
  ],
  "Visual Relation Inference": [
    {
      "Before-After Relationship Caption": "Before-AfterRelationshipCaption"
    },
    {
      "Surveillance Object-Level Change Description": "SurveillanceObject-LevelChangeDescription"
    },
    {
      "Multi-Image Alteration Description": "Multi-ImageAlterationDescription"
    },
    {
      "Bird Variation Comparison Description": "BirdVariationComparisonDescription"
    },
    {
      "Subtle Difference Description": "SubtleDifferenceDescription"
    },
    {
      "Multimodal Relation Extraction": "Multi-ImageAlterationDescription"
    }
  ],
  "Visual Storytelling Generation": [
    {
      "Animated Story Completion": "AnimatedStoryCompletion"
    },
    {
      "Cartoon Story Telling": "CartoonStoryTelling"
    },
    {
      "Multi-image Next-frame Description": "Multi-imageNext-frameDescription"
    },
    {
      "Sequential Photo Storytelling": "SequentialPhotoStorytelling"
    },
    {
      "Sequential Story Completion": "SequentialStoryCompletion"
    }
  ],
  "Disease Detection": [
    {
      "Plant Disease Detection": "plant-disease-detection"
    }
  ],
  "Disease Recognition": [
    {
      "Fruit Disease Recognition": "fruit_disease_recognition"
    },
    {
      "Abnormal Heartbeat Recognition": "Abnormal_Heartbeat_Patients"
    },
    {
      "Myocardial Infarction Recognition": "Myocardial_Infarction_Patients"
    },
    {
      "Brain Tumor MRI Recognition": "BrainTumorMRIRecognition"
    },
    {
      "Pumpkin Leaf Diseases Recognition": "PumpkinLeafDiseasesRecognition"
    },
    {
      "Leukemia Classification": "LeukemiaClassification"
    }
  ],
  "Document Visual Question Answering": [
    {
      "Multi-Page Agreement Document Visual Question Answering": "Multi-PageAgreementDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Application Document Visual Question Answering": "Multi-PageApplicationDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Certificate Document Visual Question Answering": "Multi-PageCertificateDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page E-mail Document Visual Question Answering": "Multi-PageE-mailDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Form Document Visual Question Answering": "Multi-PageFormDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Handwritten Document Visual Question Answering": "Multi-PageHandwrittenDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Infographic Document Visual Question Answering": "Multi-PageInfographicDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Invoice Document Visual Question Answering": "Multi-PageInvoiceDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Letter Document Visual Question Answering": "Multi-PageLetterDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Manual Document Visual Question Answering": "Multi-PageManualDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Meeting Document Visual Question Answering": "Multi-PageMeetingDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Memo Document Visual Question Answering": "Multi-PageMemoDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page News Document Visual Question Answering": "Multi-PageNewsDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Order Document Visual Question Answering": "Multi-PageOrderDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Poster Document Visual Question Answering": "Multi-PagePosterDocumentVisualQuestionAnswering"
    },
    {
      "Multi-Page Presentation Document Visual Question Answering": "presentation_docvqa"
    },
    {
      "Multi-Page Report Document Visual Question Answering": "report_docvqa"
    },
    {
      "Multi-Page Request Document Visual Question Answering": "request_docvqa"
    },
    {
      "Multi-Page Resume Document Visual Question Answering": "resume_docvqa"
    },
    {
      "Multi-Page Sheet Document Visual Question Answering": "sheet_docvqa"
    }
  ],
  "Emotion Detection": [
    {
      "Person Emotion Detection": "person_emotion_detection"
    },
    {
      "Pet Face Expression Recognition": "pet_face_expression_recognition"
    },
    {
      "Emotion Recognition": "emotion-detection-fer"
    },
    {
      "Face Emotion Recognition": "face_emotion_recognition"
    }
  ],
  "Graph Classification": [
    {
      "Spectrum Graph Car Classification": "Spectrum_Graph_Car_Classification"
    }
  ],
  "Hallucination Detection": [
    {
      "Attribute Hallucination Detection": "Attribute_Hallucination_Detection"
    },
    {
      "Object Hallucination Detection": "Object_Hallucination_Detection"
    }
  ]
}