r/birds • u/Exotic_Dare5475 • 23h ago
science/information I built BirdCull, a hardware-accelerated culling tool for bird photographers — looking for feedback
BirdCull is designed to help bird photographers automatically identify the sharpest images from large shooting sessions.
Simply connect a memory card or external drive, and BirdCull can scan large batches of bird photos taken on the same date and classify them into four groups: Top, Candidate, Review, and Rejected.
The results can be exported either through folder-based classification or XMP star ratings, without duplicating the original RAW files or consuming significant additional storage space. This allows BirdCull to fit smoothly into existing workflows using Lightroom, Adobe Camera Raw, Bridge, FastRawViewer, and other photography applications.
BirdCull’s image-quality evaluation system has been developed through extensive testing and repeated refinement. Rather than relying on a single global sharpness score, it evaluates multiple parts of the subject, including the bird’s body, head, and eyes.
The software combines a Transformer-based image segmentation model with separately trained bird-head and bird-eye detection models. This helps it isolate the actual subject more reliably, even when birds are partially obscured by branches, leaves, grass, or other foreground elements.
Its scoring system considers subject visibility, body sharpness, head sharpness, eye quality, and other image-level factors to provide more reliable culling results and significantly reduce the amount of manual review required.
BirdCull supports the major RAW formats used by mainstream camera brands. RAW files from newly released camera models can also be included by adding custom file extensions.
Two output methods are available:
- Folder-based classification into Top, Candidate, Review, and Rejected
- XMP star-rating output compatible with Lightroom, Adobe Camera Raw, Bridge, FastRawViewer, and similar software
BirdCull is available for:
- Windows 10 and Windows 11
- NVIDIA RTX GPUs with CUDA acceleration
- AMD GPUs with hardware acceleration
- Apple silicon Macs with native hardware acceleration
A minimum of 16 GB RAM is recommended.
The trial version does not reduce processing speed or disable core functionality. It only limits the number of photos that can be processed for each shooting date, allowing photographers to properly evaluate the software or use it occasionally for smaller sessions.
Bird photographers are welcome to try BirdCull for free. Users who provide detailed and useful feedback may also receive access to the full version for further testing.