EmoArt Dataset
Enabling Emotion-Aware Generation via a Large-Scale and Annotated Artistic Dataset
About the Dataset
EmoArt is a pioneering large-scale dataset designed for emotional analysis and generation in artistic images. Comprising over 132,000 artworks with multi-dimensional annotations, it bridges the gap between visual art and emotion understanding.
132K+
Artworks
56
Art Styles
12
Emotions
5
Visual Attributes
Dataset Highlights
Comprehensive Collection
132,000+ artworks spanning Western and Eastern traditions, from Renaissance to contemporary movements
Rich Annotations
Multi-dimensional annotations generated by GPT-4o with human validation (>85% agreement)
Emotional Dimensions
12 representative emotions spanning the full valence-arousal space for interpretable classification
Visual Analysis
Five artistic elements: Brushwork, Composition, Color, Line, and Light with structured analysis
Benchmark Results
Evaluation of state-of-the-art text-to-image diffusion models on the EmoArt dataset
| Model | Overall Quality | Emotion Alignment | Color | Composition | FID ↓ |
|---|---|---|---|---|---|
| FLUX.1-dev-lora | 0.6604 | 0.6698 | 0.6974 | 0.6698 | 31.65 |
| PixArt-sigma | 0.6505 | 0.6342 | 0.6746 | 0.6342 | 36.64 |
| Playground | 0.6486 | 0.6247 | 0.6788 | 0.6247 | 42.57 |
| SD3.5 | 4.35 | 0.6324 | 0.342 | 0.4324 | 37.96 |
| FLUX.1-dev | 0.6392 | 0.645 | 0.6503 | 0.645 | 21.29 |
Visual Comparison
The figure above illustrates the performance of various models in generating emotionally expressive images across different styles:
- Color Field Painting: FLUX.1-dev-finetuned uses pure blue and white blocks to create a calming atmosphere, capturing the essence of Color Field Painting. In contrast, FLUX.1-dev and SDXL produce images with visual clutter and inconsistent compositions.
- Traditional Chinese Painting: FLUX.1-dev-finetuned employs minimalist compositions and soft brushwork, conveying serenity and harmony aligned with East Asian aesthetics.
- High-Arousal Emotions: FLUX.1-dev-finetuned excels with chaotic line work and asymmetric compositions, effectively visualizing intense emotions.
Key Features
EmoArt enables AI systems to create emotionally expressive artistic content, supporting applications in multiple domains.
Emotion-Aware Generation
Train models to generate images with specific emotional expressions and artistic styles based on detailed prompts and annotations
Affective Computing
Advance research in emotion recognition, sentiment analysis, and computational psychology with rich emotional metadata
Art Therapy
Support therapeutic applications and mental health interventions through AI-assisted art generation and analysis
Creative Design
Enable new forms of human-AI collaboration in artistic creation and design with style-preserving generation
•••
Art Style Distribution
Impressionism15,295 works
Realism12,847 works
Expressionism10,039 works
Abstract Art8,756 works
Romanticism7,892 works
Chinese Painting4,156 works
Ukiyo-e3,689 works
Surrealism4,432 works
Cubism3,024 works
Pop Art2,891 works
Fauvism2,456 works
+45 StylesComplete diversity
•••
Detailed Emotional Analysis by Art Style
The following table provides a detailed breakdown of emotional statistics for each art style in the EmoArt dataset, including arousal levels, valence, dominant emotions, and arousal-valence combinations.
| Art Style | Entries | Arousal | Valence | Dominant Emotions | Arousal-Valence Combinations |
|---|---|---|---|---|---|
| Abstract Art | 1,759 | High: 51.45% (905) Low: 48.55% (854) |
Positive: 93.46% (1644) Negative: 6.54% (115) |
Excited: 46.79% (823) Calm: 38.54% (678) Contentment: 7.67% (135) |
High-Positive: 47.24% (831) High-Negative: 4.21% (74) Low-Positive: 46.22% (813) Low-Negative: 2.33% (41) |
| Abstract Expressionism | 3,674 | High: 58.74% (2158) Low: 41.26% (1516) |
Positive: 85.74% (3150) Negative: 14.26% (524) |
Excited: 47.09% (1730) Calm: 31.33% (1151) Frustrated: 6.23% (229) |
High-Positive: 48.04% (1765) High-Negative: 10.70% (393) Low-Positive: 37.70% (1385) Low-Negative: 3.57% (131) |
| Academicism | 3,693 | High: 11.72% (433) Low: 88.28% (3260) |
Positive: 90.74% (3351) Negative: 9.26% (342) |
Calm: 60.57% (2237) Contentment: 23.67% (874) Excited: 5.61% (207) |
High-Negative: 5.28% (195) High-Positive: 6.44% (238) Low-Negative: 3.98% (147) Low-Positive: 84.29% (3113) |
| Art Brut | 399 | High: 62.41% (249) Low: 37.59% (150) |
Positive: 69.67% (278) Negative: 30.33% (121) |
Excited: 38.60% (154) Calm: 22.56% (90) Alarmed: 13.28% (53) |
High-Negative: 22.31% (89) High-Positive: 40.10% (160) Low-Negative: 8.02% (32) Low-Positive: 29.57% (118) |
| Art Deco | 570 | High: 27.02% (154) Low: 72.98% (416) |
Positive: 92.98% (530) Negative: 7.02% (40) |
Calm: 57.54% (328) Excited: 21.23% (121) Contentment: 12.81% (73) |
High-Negative: 4.56% (26) High-Positive: 22.46% (128) Low-Negative: 2.46% (14) Low-Positive: 70.53% (402) |
| Art Informel | 1,474 | High: 57.26% (844) Low: 42.74% (630) |
Positive: 80.73% (1190) Negative: 19.27% (284) |
Excited: 42.06% (620) Calm: 31.28% (461) Frustrated: 8.75% (129) |
High-Negative: 14.11% (208) High-Positive: 43.15% (636) Low-Negative: 5.16% (76) Low-Positive: 37.58% (554) |
| Art Nouveau (Modern) | 5,897 | High: 22.05% (1301) Low: 77.95% (4592) |
Positive: 91.66% (5404) Negative: 8.34% (492) |
Calm: 58.38% (3382) Contentment: 17.24% (1016) Excited: 15.56% (918) |
High-Negative: 5.05% (298) High-Positive: 17.00% (1002) Low-Negative: 3.29% (194) Low-Positive: 74.66% (4401) |
| Baroque | 7,995 | High: 21.44% (1713) Low: 78.59% (6282) |
Positive: 86.22% (6894) Negative: 13.78% (1103) |
Calm: 54.98% (4395) Contentment: 19.34% (1546) Excited: 9.99% (799) |
High-Negative: 9.61% (768) High-Positive: 11.83% (947) Low-Negative: 4.14% (14) Low-Positive: 74.39% (5946) |
| China Images | 4,157 | High: 0.24% (10) Low: 99.76% (4147) |
Positive: 99.95% (4155) Negative: 0.05% (2) |
Calm: 89.42% (3717) Contentment: 10.32% (429) Excited: 0.19% (8) |
High-Negative: 0.02% (1) High-Positive: 0.22% (9) Low-Negative: 0.02% (1) Low-Positive: 99.74% (4146) |
| Color Field Painting | 1,141 | High: 35.85% (409) Low: 64.15% (732) |
Positive: 96.84% (1105) Negative: 3.16% (36) |
Calm: 53.99% (616) Excited: 33.65% (384) Contentment: 8.15% (93) |
High-Negative: 1.23% (14) High-Positive: 34.62% (395) Low-Negative: 1.93% (22) Low-Positive: 62.22% (710) |
| Concretism | 581 | High: 42.00% (244) Low: 58.00% (337) |
Positive: 98.80% (574) Negative: 1.20% (7) |
Calm: 48.88% (284) Excited: 39.76% (231) Contentment: 8.61% (50) |
High-Negative: 0.69% (4) High-Positive: 41.31% (240) Low-Negative: 0.52% (3) Low-Positive: 57.49% (334) |
| Constructivism | 455 | High: 42.86% (195) Low: 57.14% (260) |
Positive: 93.41% (425) Negative: 6.59% (30) |
Calm: 50.33% (229) Excited: 36.70% (167) Contentment: 5.27% (24) |
High-Negative: 5.05% (23) High-Positive: 37.80% (172) Low-Negative: 1.54% (7) Low-Positive: 55.60% (253) |
| Contemporary Realism | 1,357 | High: 12.68% (172) Low: 87.32% (1185) |
Positive: 86.88% (1179) Negative: 13.12% (178) |
Calm: 63.30% (859) Contentment: 14.59% (198) Sad: 8.33% (113) |
High-Negative: 3.68% (50) High-Positive: 8.99% (122) Low-Negative: 9.43% (128) Low-Positive: 77.89% (1057) |
| Cubism | 2,438 | High: 44.75% (1091) Low: 55.25% (1347) |
Positive: 90.44% (2205) Negative: 9.56% (233) |
Calm: 40.69% (992) Excited: 38.31% (934) Contentment: 10.62% (259) |
High-Negative: 5.62% (137) High-Positive: 39.13% (954) Low-Negative: 3.94% (96) Low-Positive: 51.31% (1251) |
| Dada | 296 | High: 39.53% (117) Low: 60.47% (179) |
Positive: 75.00% (222) Negative: 25.00% (74) |
Calm: 37.84% (112) Excited: 21.28% (63) Contentment: 15.54% (46) |
High-Negative: 17.91% (53) High-Positive: 21.62% (64) Low-Negative: 7.09% (21) Low-Positive: 53.38% (158) |
| Early Renaissance | 954 | High: 12.16% (116) Low: 87.84% (838) |
Positive: 87.95% (839) Negative: 12.05% (115) |
Calm: 68.34% (652) Contentment: 12.16% (116) Sad: 7.34% (70) |
High-Negative: 4.72% (45) High-Positive: 7.44% (71) Low-Negative: 7.34% (70) Low-Positive: 80.50% (768) |
| Expressionism | 10,065 | High: 36.23% (3647) Low: 63.77% (6418) |
Positive: 75.92% (7641) Negative: 24.08% (2424) |
Calm: 41.74% (4201) Excited: 21.46% (2160) Contentment: 11.51% (1158) |
High-Negative: 13.57% (1366) High-Positive: 22.66% (2281) Low-Negative: 10.51% (1058) Low-Positive: 53.25% (5360) |
| Fauvism | 905 | High: 59.01% (534) Low: 40.99% (371) |
Positive: 96.02% (869) Negative: 3.98% (36) |
Excited: 53.26% (482) Calm: 28.85% (243) Contentment: 12.38% (112) |
High-Negative: 2.32% (21) High-Positive: 56.69% (513) Low-Negative: 1.66% (15) Low-Positive: 39.34% (356) |
| Figurative Expressionism | 410 | High: 48.78% (200) Low: 51.22% (210) |
Positive: 84.15% (345) Negative: 15.85% (65) |
Excited: 36.83% (151) Calm: 33.90% (139) Contentment: 10.98% (45) |
High-Negative: 9.51% (39) High-Positive: 39.27% (161) Low-Negative: 6.34% (26) Low-Positive: 44.88% (184) |
| Gongbi | 32 | High: 0.00% (0) Low: 100.00% (32) |
Positive: 100.00% (32) Negative: 0.00% (0) |
Calm: 87.50% (28) Contentment: 12.50% (4) |
High-Negative: 0.00% (0) High-Positive: 0.00% (0) Low-Negative: 0.00% (0) Low-Positive: 100.00% (32) |
| Hard Edge Painting | 509 | High: 43.81% (223) Low: 56.19% (286) |
Positive: 99.02% (504) Negative: 0.98% (5) |
Calm: 49.51% (252) Excited: 42.24% (215) Contentment: 6.09% (31) |
High-Negative: 0.39% (2) High-Positive: 43.42% (221) Low-Negative: 0.59% (3) Low-Positive: 55.60% (283) |
| High Renaissance | 1,525 | High: 13.25% (202) Low: 86.75% (1323) |
Positive: 88.92% (1356) Negative: 11.08% (169) |
Calm: 67.34% (1027) Contentment: 13.77% (210) Excited: 7.54% (115) |
High-Negative: 5.44% (83) High-Positive: 7.80% (119) Low-Negative: 5.64% (86) Low-Positive: 81.11% (1237) |
| Impressionism | 11,736 | High: 9.86% (1157) Low: 90.14% (10579) |
Positive: 95.44% (11201) Negative: 4.56% (535) |
Calm: 67.19% (7886) Contentment: 19.83% (2327) Excited: 7.46% (876) |
High-Negative: 1.48% (174) High-Positive: 8.38% (983) Low-Negative: 3.08% (361) Low-Positive: 87.07% (10218) |
| India Art | 943 | High: 18.56% (175) Low: 81.44% (768) |
Positive: 99.47% (938) Negative: 0.53% (5) |
Calm: 61.93% (584) Contentment: 19.51% (184) Excited: 16.97% (160) |
High-Negative: 0.53% (5) High-Positive: 18.03% (170) Low-Negative: 0.00% (0) Low-Positive: 81.44% (768) |
| Ink and Wash Painting | 544 | High: 7.17% (39) Low: 92.83% (505) |
Positive: 93.38% (508) Negative: 6.62% (36) |
Calm: 82.72% (450) Contentment: 5.70% (31) Excited: 4.78% (26) |
High-Negative: 2.21% (12) High-Positive: 4.96% (27) Low-Negative: 4.41% (24) Low-Positive: 88.42% (481) |
| Islamic Art | 798 | High: 18.05% (144) Low: 81.95% (654) |
Positive: 98.62% (787) Negative: 1.38% (11) |
Calm: 58.52% (467) Contentment: 23.31% (186) Excited: 16.67% (133) |
High-Negative: 1.25% (10) High-Positive: 16.79% (134) Low-Negative: 0.13% (1) Low-Positive: 81.83% (653) |
| Korean Art | 485 | High: 0.41% (2) Low: 99.59% (483) |
Positive: 99.59% (483) Negative: 0.41% (2) |
Calm: 87.42% (424) Contentment: 11.75% (57) Excited: 0.41% (2) |
High-Negative: 0.00% (0) High-Positive: 0.41% (2) Low-Negative: 0.41% (2) Low-Positive: 99.18% (481) |
| Lyrical Abstraction | 796 | High: 53.14% (423) Low: 46.86% (373) |
Positive: 92.71% (738) Negative: 7.29% (58) |
Excited: 47.11% (375) Calm: 37.19% (296) Contentment: 7.79% (62) |
High-Negative: 5.38% (43) High-Positive: 47.74% (380) Low-Negative: 1.88% (15) Low-Positive: 44.97% (358) |
| Magic Realism | 1,396 | High: 22.92% (320) Low: 77.08% (1076) |
Positive: 87.89% (1227) Negative: 12.11% (169) |
Calm: 58.88% (822) Excited: 16.12% (225) Contentment: 12.03% (168) |
High-Negative: 6.02% (84) High-Positive: 16.91% (236) Low-Negative: 6.09% (85) Low-Positive: 70.99% (991) |
| Mannerism (Late Renaissance) | 2,094 | High: 28.46% (596) Low: 71.54% (1498) |
Positive: 81.95% (1716) Negative: 18.05% (378) |
Calm: 55.40% (1160) Excited: 14.37% (301) Contentment: 10.84% (227) |
High-Negative: 12.75% (267) High-Positive: 15.71% (329) Low-Negative: 5.30% (111) Low-Positive: 66.24% (1387) |
| Native Art | 494 | High: 49.60% (245) Low: 50.40% (249) |
Positive: 96.96% (479) Negative: 3.04% (15) |
Excited: 44.33% (219) Calm: 38.66% (191) Contentment: 11.34% (56) |
High-Negative: 2.83% (14) High-Positive: 46.76% (231) Low-Negative: 0.20% (1) Low-Positive: 50.20% (248) |
| Naturalism | 731 | High: 9.17% (67) Low: 90.83% (664) |
Positive: 95.62% (699) Negative: 4.38% (32) |
Calm: 58.69% (429) Contentment: 28.73% (210) Excited: 7.39% (54) |
High-Negative: 0.96% (7) High-Positive: 8.21% (60) Low-Negative: 3.42% (25) Low-Positive: 87.41% (639) |
| Naïve Art (Primitivism) | 2,392 | High: 31.35% (750) Low: 68.65% (1642) |
Positive: 89.97% (2152) Negative: 10.03% (240) |
Calm: 44.19% (1057) Excited: 22.58% (540) Contentment: 19.27% (461) |
High-Negative: 4.93% (118) High-Positive: 26.24% (632) Low-Negative: 5.10% (122) Low-Positive: 63.86% (1526) |
| Neo-Expressionism | 1,345 | High: 66.25% (891) Low: 33.75% (454) |
Positive: 65.95% (887) Negative: 34.05% (458) |
Excited: 36.88% (496) Calm: 22.31% (303) Frustrated: 13.68% (184) |
High-Negative: 28.03% (377) High-Positive: 38.24% (514) Low-Negative: 6.02% (81) Low-Positive: 27.73% (373) |
| Neo-Impressionism | 310 | High: 15.81% (49) Low: 84.19% (261) |
Positive: 96.45% (297) Negative: 3.56% (11) |
Calm: 61.97% (136) Contentment: 20.62% (165) Excited: 13.55% (41) |
High-Negative: 1.94% (6) High-Positive: 13.81% (43) Low-Negative: 1.61% (5) Low-Positive: 82.58% (256) |
| Neo-Pop Art | 331 | High: 77.34% (256) Low: 22.66% (75) |
Positive: 86.10% (285) Negative: 13.90% (46) |
Excited: 58.61% (194) Calm: 18.73% (62) Alarmed: 7.55% (25) |
High-Negative: 12.67% (42) High-Positive: 64.74% (214) Low-Negative: 1.21% (4) Low-Positive: 21.43% (71) |
| Neo-Romanticism | 466 | High: 28.76% (134) Low: 71.24% (332) |
Positive: 86.91% (405) Negative: 13.09% (61) |
Calm: 46.57% (217) Excited: 19.53% (91) Contentment: 19.74% (92) |
High-Negative: 8.15% (38) High-Positive: 20.60% (96) Low-Negative: 4.94% (23) Low-Positive: 66.31% (309) |
| New Realism | 190 | High: 13.68% (26) Low: 86.32% (164) |
Positive: 88.42% (168) Negative: 11.58% (22) |
Calm: 60.00% (114) Contentment: 17.89% (34) Excited: 7.37% (14) |
High-Negative: 3.16% (6) High-Positive: 10.53% (20) Low-Negative: 8.42% (16) Low-Positive: 77.86% (148) |
| Op Art | 865 | High: 53.41% (462) Low: 46.59% (403) |
Positive: 97.23% (841) Negative: 2.77% (24) |
Excited: 49.13% (425) Calm: 41.50% (359) Contentment: 4.62% (40) |
High-Negative: 2.31% (20) High-Positive: 51.10% (442) Low-Negative: 0.46% (4) Low-Positive: 46.10% (399) |
| Orientalism | 847 | High: 20.07% (170) Low: 79.93% (677) |
Positive: 93.39% (791) Negative: 6.61% (56) |
Calm: 55.61% (471) Contentment: 21.72% (184) Excited: 14.99% (127) |
High-Negative: 4.13% (35) High-Positive: 15.94% (135) Low-Negative: 2.48% (21) Low-Positive: 77.45% (656) |
| Pointillism | 494 | High: 19.64% (97) Low: 80.36% (397) |
Positive: 97.98% (484) Negative: 2.02% (10) |
Calm: 55.26% (273) Contentment: 23.68% (117) Excited: 16.19% (80) |
High-Negative: 0.81% (4) High-Positive: 18.83% (93) Low-Negative: 1.21% (6) Low-Positive: 79.16% (391) |
| Pop Art | 1,790 | High: 59.22% (1060) Low: 40.78% (730) |
Positive: 91.31% (1633) Negative: 8.77% (157) |
Excited: 49.27% (882) Calm: 30.89% (553) Contentment: 7.88% (141) |
High-Negative: 6.82% (122) High-Positive: 52.4% (938) Low-Negative: 1.96% (35) Low-Positive: 38.83% (695) |
| Post-Impressionism | 6,146 | High: 18.70% (1149) Low: 81.3% (4997) |
Positive: 95.22% (5852) Negative: 4.78% (294) |
Calm: 57.11% (3510) Contentment: 20.70% (1272) Excited: 15.77% (969) |
High-Negative: 1.29% (79) High-Positive: 17.15% (1070) Low-Negative: 3.50% (215) Low-Positive: 77.81% (4782) |
| Realism | 15,307 | High: 7.98% (1222) Low: 92.02% (14085) |
Positive: 88.93% (13612) Negative: 11.07% (1695) |
Calm: 64.73% (9908) Contentment: 19.75% (3023) Sad: 6.84% (1047) |
High-Negative: 3.61% (552) High-Positive: 4.4% (670) Low-Negative: 7.47% (147) Low-Positive: 84.56% (12942) |
| Regionalism | 492 | High: 24.19% (119) Low: 75.81% (373) |
Positive: 91.06% (448) Negative: 8.94% (44) |
Calm: 43.90% (216) Contentment: 27.85% (137) Excited: 13.82% (68) |
High-Negative: 5.28% (26) High-Positive: 18.90% (93) Low-Negative: 3.66% (18) Low-Positive: 72.19% (355) |
| Rococo | 3,733 | High: 12.40% (463) Low: 87.60% (3270) |
Positive: 93.49% (3490) Negative: 6.51% (243) |
Calm: 67.13% (2506) Contentment: 18.95% (705) Excited: 6.83% (255) |
High-Negative: 4.93% (184) High-Positive: 7.47% (279) Low-Negative: 1.58% (59) Low-Positive: 86.02% (3211) |
| Romanticism | 15,731 | High: 18.28% (2876) Low: 81.72% (12855) |
Positive: 84.81% (13341) Negative: 15.19% (2390) |
Calm: 60.66% (9543) Contentment: 16.15% (2541) Alarmed: 8.31% (1308) |
High-Negative: 10.33% (1625) High-Positive: 7.95% (1251) Low-Negative: 4.86% (765) Low-Positive: 76.86% (12090) |
| Shin-hanga | 341 | High: 4.99% (17) Low: 95.01% (324) |
Positive: 97.95% (334) Negative: 2.05% (7) |
Calm: 86.80% (296) Contentment: 7.62% (26) Excited: 2.64% (9) |
High-Negative: 1.47% (5) High-Positive: 3.52% (12) Low-Negative: 0.59% (2) Low-Positive: 94.43% (322) |
| Social Realism | 576 | High: 40.80% (235) Low: 59.20% (341) |
Positive: 57.47% (331) Negative: 42.53% (245) |
Calm: 31.77% (183) Alarmed: 18.06% (104) Excited: 12.85% (74) Sad: 12.85% (74) |
High-Negative: 26.74% (154) High-Positive: 14.06% (81) Low-Negative: 15.80% (91) Low-Positive: 43.44% (250) |
| Socialist Realism | 550 | High: 35.64% (196) Low: 64.36% (354) |
Positive: 74.91% (412) Negative: 25.09% (138) |
Calm: 38.00% (209) Contentment: 18.91% (104) Excited: 15.82% (87) |
High-Negative: 17.64% (97) High-Positive: 18.00% (99) Low-Negative: 7.45% (41) Low-Positive: 56.91% (313) |
| Surrealism | 4,436 | High: 36.83% (1634) Low: 63.17% (2802) |
Positive: 71.01% (3150) Negative: 28.99% (1286) |
Calm: 41.73% (1851) Excited: 19.82% (879) Alarmed: 10.41% (462) |
High-Negative: 16.23% (720) High-Positive: 20.60% (914) Low-Negative: 12.76% (566) Low-Positive: 50.41% (2236) |
| Symbolism | 3,275 | High: 18.56% (608) Low: 81.44% (2667) |
Positive: 80.92% (2650) Negative: 19.08% (625) |
Calm: 60.55% (1983) Contentment: 11.51% (377) Sad: 8.92% (292) |
High-Negative: 9.74% (319) High-Positive: 8.82% (289) Low-Negative: 9.31% (346) Low-Positive: 72.09% (2360) |
| Sōsaku Hanga | 374 | High: 18.72% (70) Low: 81.28% (304) |
Positive: 95.19% (356) Negative: 4.81% (18) |
Calm: 69.25% (259) Excited: 14.17% (53) Contentment: 9.89% (37) |
High-Negative: 2.67% (10) High-Positive: 16.04% (60) Low-Negative: 2.14% (8) Low-Positive: 79.16% (296) |
| Tachisme | 440 | High: 77.50% (341) Low: 22.50% (99) |
Positive: 80.44% (354) Negative: 19.55% (86) |
Excited: 60.45% (266) Calm: 18.86% (83) Frustrated: 8.64% (38) |
High-Negative: 15.91% (70) High-Positive: 61.59% (271) Low-Negative: 3.64% (16) Low-Positive: 18.86% (83) |
| Transavantgarde | 429 | High: 47.55% (204) Low: 52.45% (225) |
Positive: 62.70% (269) Negative: 37.30% (160) |
Calm: 30.30% (130) Excited: 20.98% (90) Alarmed: 14.92% (64) |
High-Negative: 25.17% (108) High-Positive: 22.38% (96) Low-Negative: 12.12% (52) Low-Positive: 40.33% (173) |
| Ukiyo-e | 1,730 | High: 13.87% (240) Low: 86.13% (1490) |
Positive: 95.20% (1647) Negative: 4.80% (83) |
Calm: 74.34% (1286) Contentment: 11.16% (193) Excited: 9.25% (160) |
High-Negative: 4.16% (72) High-Positive: 9.71% (168) Low-Negative: 0.64% (11) Low-Positive: 85.49% (1479) |
Citation
If you use EmoArt in your research, please cite our paper:
@inproceedings{zhang2025emoart,
title={EmoArt: A Multidimensional Dataset for Emotion-Aware Artistic Generation},
author={Zhang, Cheng and Xie, Hongxia and Wen, Bin and Zuo, Songhan and Zhang, Ruoxuan and Cheng, Wen-Huang},
booktitle={Under Review},
pages={1--6},
year={2025}
}