https://sudonull.com/tape-on-coco-98-accuracy-with-boxes
TAPe achieved 98% on 2% COCO, bounding boxes instead of centroids, minimum false positives. Experiment details for CV developers. Study the approach.
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In this project
https://sudonull.com/tape-embeddings-74-on-coco-without-transformers
Training TAPe embeddings on synthetics gives 74% COCO classification. Rejection of transformers, reconstruction results 82%. For CV developers — experiment details and plans.
https://sudonull.com/tape-without-transformers-patch-associations
Learn how abandoning transformers in TAPe+ML reduced parameters by orders of magnitude and gave the beginnings of segmentation on COCO. Local associations for object detection — read the details for developers.
https://sudonull.com/tape-detection-100k-parameters-vs-sota-models
How the TAPe detector with 100k parameters outperforms YOLO and RF-DETR in speed and resource savings. Detailed breakdown of benchmarks and advantages for developers.
https://sudonull.com/cli-tapeback-stereo-diarization-calls-linux
Automate call transcription: PipeWire capture, faster-whisper, speakers by channels, LLM-summary in Obsidian. Install tapeback and simplify workflow. For Linux developers.
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