FineVideo: behind the scenes
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Thomas Wolf PRO
thomwolf
AI & ML interests
NLP and open-source :-)
Recent Activity
liked
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about 14 hours ago
camlab-ethz/Poseidon-L
liked
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about 15 hours ago
dfurman/CalmeRys-78B-Orpo-v0.1
upvoted
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paper
about 20 hours ago
Adding Error Bars to Evals: A Statistical Approach to Language Model
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thomwolf's activity
liked
a
model
about 14 hours ago
liked
a
model
about 15 hours ago
upvoted
a
paper
about 20 hours ago
posted
an
update
about 20 hours ago
Post
440
Interesting long read from
@evanmiller-anthropic
on having a better founded statistical approach to Language Model Evaluations:
https://www.anthropic.com/research/statistical-approach-to-model-evals
Worth a read if you're into LLM evaluations!
Cc @clefourrier
https://www.anthropic.com/research/statistical-approach-to-model-evals
Worth a read if you're into LLM evaluations!
Cc @clefourrier
liked
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Space
3 days ago
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3 days ago
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3 days ago
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6 days ago
Amazing! the perfect complementary to https://huggingface.co/datasets/PleIAs/common_corpus cc @Pclanglais
Reacted to
nyuuzyou's
post with 🔥
6 days ago
Post
927
🖼️ Introducing Public Domain Pictures Dataset -
nyuuzyou/publicdomainpictures
Dataset highlights:
- 644,412 public domain images with comprehensive metadata from publicdomainpictures.net
- English language metadata including titles, descriptions, and keywords
- Each entry contains rich metadata including:
- Unique image ID and full-size image URLs
- Detailed titles and descriptions
- Keyword/tag collections
- Creator attribution
- Released to the public domain under Creative Commons Zero (CC0) license
Dataset highlights:
- 644,412 public domain images with comprehensive metadata from publicdomainpictures.net
- English language metadata including titles, descriptions, and keywords
- Each entry contains rich metadata including:
- Unique image ID and full-size image URLs
- Detailed titles and descriptions
- Keyword/tag collections
- Creator attribution
- Released to the public domain under Creative Commons Zero (CC0) license
-
- 2 replies
posted
an
update
6 days ago
Post
1264
Very exciting new
mistralai/Pixtral-Large-Instruct-2411 model from Mistral-AI
Impressive performances, huge congrats @patrickvonplaten @sgvaze @pandora-s @devendrachaplot @sophiamyang and team!
Very nice to have SOTA Multilingual OCR and Chart understanding in an open-weights model
Impressive performances, huge congrats @patrickvonplaten @sgvaze @pandora-s @devendrachaplot @sophiamyang and team!
Very nice to have SOTA Multilingual OCR and Chart understanding in an open-weights model
liked
a
model
6 days ago
liked
a
dataset
6 days ago
exciting!
Reacted to
LukeNeumann's
post with 👍🔥
6 days ago
Post
1844
Hello Hugging Face community!
I wanted to introduce myself and my company @Overlaiapp . We are a collective of filmmakers, photographers, and AI engineers working on high resolution (8K+) training data.
We plan to share a lot of our datasets with the community and are kicking things off with two curated datasets:
- Overlaiai/OregonCoastin4K
- Overlaiai/SubArcticPolarBear
Overlai.ai Dataset Features
🎥 Oversampled: Every clip is captured in stunning 8K resolution, delivering rich detail ideal for fine tuning scenic landscapes and ocean dynamics.
📸 Variance: Includes close-up details, slow-motion footage of crashing waves, sweeping landscapes, and wildlife shots.
📋 Detailed Metadata: Every clip is paired with structured metadata, including creative descriptions, precise camera movements, lens information, field of view calculations, and shot settings, ensuring AI models can fully understand and replicate real-world cinematography with accuracy.
⚙️ Consistency: Re-thinking training data at the point of capture by "overshooting" a subject, enabling models to learn more nuanced relationships and views across scenes.
🌅 Light: Shot during early morning and sunset light for optimal color contrast and dynamic range, maximizing visual quality for color and lighting-sensitive tasks.
🔍 Curation: Curated specifically for machine learning, providing clean, high-quality data for next generation model training.
I wanted to introduce myself and my company @Overlaiapp . We are a collective of filmmakers, photographers, and AI engineers working on high resolution (8K+) training data.
We plan to share a lot of our datasets with the community and are kicking things off with two curated datasets:
- Overlaiai/OregonCoastin4K
- Overlaiai/SubArcticPolarBear
Overlai.ai Dataset Features
🎥 Oversampled: Every clip is captured in stunning 8K resolution, delivering rich detail ideal for fine tuning scenic landscapes and ocean dynamics.
📸 Variance: Includes close-up details, slow-motion footage of crashing waves, sweeping landscapes, and wildlife shots.
📋 Detailed Metadata: Every clip is paired with structured metadata, including creative descriptions, precise camera movements, lens information, field of view calculations, and shot settings, ensuring AI models can fully understand and replicate real-world cinematography with accuracy.
⚙️ Consistency: Re-thinking training data at the point of capture by "overshooting" a subject, enabling models to learn more nuanced relationships and views across scenes.
🌅 Light: Shot during early morning and sunset light for optimal color contrast and dynamic range, maximizing visual quality for color and lighting-sensitive tasks.
🔍 Curation: Curated specifically for machine learning, providing clean, high-quality data for next generation model training.
upvoted
an
article
6 days ago
Article
The Rise of Agentic Data Generation
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model
7 days ago
liked
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dataset
7 days ago