BurstPickBurstPick LLC
|
RankLLMCastorini
|
|||||
Related Products
|
||||||
About
BurstPick is a desktop culling application for wildlife, bird, and action photographers who shoot RAW bursts. It reads a folder of photos, groups frames shot close together into bursts automatically, and scores every frame so the likely keeper rises to the top of each burst.
Scoring uses six criteria weighted for wildlife rather than portraits: Focus (28%), Eye Visibility (22%), Exposure (17%), Composition (17%), Noise (11%), and Context (5%). Focus measures sharpness on the detected subject rather than the whole frame; Eye Visibility checks whether the subject's eye is open, lit, and in focus; Noise is ISO-aware, tolerating grain while penalizing banding. Weights are adjustable with live re-ranking, presets can be saved and exported, and a "Calibrate from my picks" tool derives a weighting from frames you have already chosen. A per-criterion breakdown explains every score.
|
About
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Wildlife, bird, nature, and action photographers; professional and enthusiast photographers who shoot RAW bursts; photo tour leaders and workshop instructors culling large shoots
|
Audience
Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and VideosNo images available
|
Screenshots and Videos |
|||||
Pricing
$89 one-time
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationBurstPick LLC
Founded: 2026
United States
burstpick.com
|
Company InformationCastorini
Canada
github.com/castorini/rank_llm/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Gemini
Gemini Enterprise
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Python
Qwen
RankGPT
|
Integrations
Gemini
Gemini Enterprise
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Python
Qwen
RankGPT
|
|||||
|
|
|