{"schema_version":"onlylabs.public_signal.v1","title":"Baidu (ERNIE) Model: baidu/ERNIE-Image-Aes","description":"Baidu (ERNIE) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/b6335999-d77b-4243-abca-5368af446b9d","json_url":"https://onlylabs.fyi/signals/b6335999-d77b-4243-abca-5368af446b9d/signal.json","generated_at":"2026-06-11T02:40:50.949025+00:00","org":{"slug":"baidu","name":"Baidu (ERNIE)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/baidu","dossier_json_url":"https://onlylabs.fyi/labs/baidu/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/b6335999-d77b-4243-abca-5368af446b9d","signal_json":"https://onlylabs.fyi/signals/b6335999-d77b-4243-abca-5368af446b9d/signal.json","source":"https://huggingface.co/baidu/ERNIE-Image-Aes","lab_dossier":"https://onlylabs.fyi/labs/baidu","lab_dossier_json":"https://onlylabs.fyi/labs/baidu/dossier.json","analysis":"https://onlylabs.fyi/analysis/baidu","analysis_json":"https://onlylabs.fyi/analysis/baidu/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/baidu/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Baidu (ERNIE) published baidu/ERNIE-Image-Aes. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license apache-2.0 · 4.4K HF downloads · Solid model release, moderate downloads. onlylabs links this event to 1 captured evidence page and 6 related model signals.","signal_desk":"releases","source_context":{"source_url":"https://huggingface.co/baidu/ERNIE-Image-Aes","source_host":"huggingface.co","occurred_at":"2026-05-18T09:12:17+00:00","first_seen_at":"2026-06-06T01:49:32.229718+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"Baidu (ERNIE)","source":"signal"},{"label":"Signal desk","value":"releases","source":"signal"},{"label":"Source host","value":"huggingface.co","source":"source"},{"label":"License","value":"apache-2.0","source":"model"},{"label":"Params","value":"7.9B","source":"model"},{"label":"Downloads","value":"4.4K","source":"traction"},{"label":"Likes","value":"11","source":"traction"},{"label":"Notability","value":"Solid model release, moderate downloads","source":"signal"},{"label":"Watch 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This model signal is evidence of what shipped on model infrastructure and how the release is positioned. 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It substantially outperforms existing aesthetic predictors (LAION-AES, ArtiMuse, UniPercept) in generalization across diverse image categories. **Key advantages:** - Balanced predictions across photography, anime, design, everyday snapshots, and film photography - No systematic bias toward specific image types (e.g., AI-generated content or black-and-white photos) - Swiss-tournament based pairwise annotation for high-quality training labels - Achieves **0.7445 SRCC** and **0.7598 PLCC** on ERIA-1K benchmark 🔍 Motivation Off-the-shelf aesthetic predictors exhibit systematic biases:..."},"evidence_pages":[{"url":"https://huggingface.co/baidu/ERNIE-Image-Aes/raw/main/README.md","final_url":"https://huggingface.co/baidu/ERNIE-Image-Aes/raw/main/README.md","title":"baidu/ERNIE-Image-Aes model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:40:50.949025+00:00","bytes":2697,"raw_path":"29d67b9f0aabdea522fd5820278239a6924b5b3658183f928b732fb4830dde22.md","content_hash":"8ea3955ea6384809dddb8d669f87cf24cefd616423d903cfd70aa479bb18e805","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 --- ERNIE-Image-Aes: Robust Image Aesthetics Scoring with Balanced Category Generalization <!-- ![tier_preview](https://cdn-uploads.huggingface.co/production/uploads/5f8d780e5d083370c711f575/EVsGxYPd7kVWWIKlBj-d9.png) --> <img src=\"https://cdn-uploads.huggingface.co/production/uploads/5f8d780e5d083370c711f575/EVsGxYPd7kVWWIKlBj-d9.png\" width=\"100%\"> [📄 Paper] 🌟 Highlights ERNIE-Image-Aes is a 8B vision-language model for image aesthetic scoring, initialized from [ArtiMuse](https://github.com/thunderbolt215/ArtiMuse) and fine-tuned on a diverse, professionally annotated dataset. It substantially outperforms existing aesthetic predictors (LAION-AES, ArtiMuse, UniPercept) in generalization across diverse image categories. **Key advantages:** - Balanced predictions across photography, anime, design, everyday snapshots, and film photography - No systematic bias toward specific image types (e.g., AI-generated content or black-and-white photos) - Swiss-tournament based pairwise annotation for high-quality training labels - Achieves **0.7445 SRCC** and **0.7598 PLCC** on ERIA-1K benchmark 🔍 Motivation Off-the-shelf aesthetic predictors exhibit systematic biases:..."}],"related_signals":[{"id":"e734d8f2-4cd6-4efd-be3a-564ac456a931","url":"https://onlylabs.fyi/signals/e734d8f2-4cd6-4efd-be3a-564ac456a931","source_url":"https://huggingface.co/baidu/NAVA","title":"baidu/NAVA","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"baidu","name":"Baidu (ERNIE)","category":"frontier-lab"},"occurred_at":"2026-05-29T02:17:22+00:00","first_seen_at":"2026-06-06T01:49:32.229718+00:00","date_source":"source"},{"id":"a0cd5468-4410-4a1e-8393-2a64fd36a871","url":"https://onlylabs.fyi/signals/a0cd5468-4410-4a1e-8393-2a64fd36a871","source_url":"https://huggingface.co/baidu/ERNIE-Image","title":"baidu/ERNIE-Image","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"baidu","name":"Baidu (ERNIE)","category":"frontier-lab"},"occurred_at":"2026-04-07T07:26:56+00:00","first_seen_at":"2026-06-06T01:49:32.229718+00:00","date_source":"source"},{"id":"f65a6dd3-1181-4afc-91d0-b5e120ef267a","url":"https://onlylabs.fyi/signals/f65a6dd3-1181-4afc-91d0-b5e120ef267a","source_url":"https://huggingface.co/baidu/ERNIE-Image-Turbo","title":"baidu/ERNIE-Image-Turbo","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"baidu","name":"Baidu (ERNIE)","category":"frontier-lab"},"occurred_at":"2026-04-02T10:57:06+00:00","first_seen_at":"2026-06-06T01:49:32.229718+00:00","date_source":"source"},{"id":"cbc56756-49f1-4e67-897a-be3b2c3db134","url":"https://onlylabs.fyi/signals/cbc56756-49f1-4e67-897a-be3b2c3db134","source_url":"https://huggingface.co/baidu/Qianfan-OCR","title":"baidu/Qianfan-OCR","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"baidu","name":"Baidu (ERNIE)","category":"frontier-lab"},"occurred_at":"2026-03-18T07:48:43+00:00","first_seen_at":"2026-06-06T01:49:32.229718+00:00","date_source":"source"},{"id":"947f7039-998c-4ed5-a77b-d6e52f466350","url":"https://onlylabs.fyi/signals/947f7039-998c-4ed5-a77b-d6e52f466350","source_url":"https://huggingface.co/baidu/ERNIE-4.5-VL-28B-A3B-Thinking","title":"baidu/ERNIE-4.5-VL-28B-A3B-Thinking","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"baidu","name":"Baidu (ERNIE)","category":"frontier-lab"},"occurred_at":"2025-11-07T02:48:32+00:00","first_seen_at":"2026-06-06T01:49:32.229718+00:00","date_source":"source"},{"id":"e628a6da-2cbb-41fa-a430-47a0039e12b9","url":"https://onlylabs.fyi/signals/e628a6da-2cbb-41fa-a430-47a0039e12b9","source_url":"https://huggingface.co/baidu/Qianfan-VL-70B","title":"baidu/Qianfan-VL-70B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"baidu","name":"Baidu (ERNIE)","category":"frontier-lab"},"occurred_at":"2025-09-16T14:18:26+00:00","first_seen_at":"2026-06-06T01:49:32.229718+00:00","date_source":"source"}]}