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LATEST ISSUEVol. 3 · Issue 47
Tue, Feb 25 2026 · 11 min read

SAM 2.1 vs. EfficientSAM: Zero-Shot Segmentation at 60fps on Edge Devices

We ran both models through 14 benchmark datasets, measured throughput on Jetson Orin and RTX 4090, and annotated the three architectural decisions that explain the 2.3× speed gap. Plus: ONNX export quirks you will hit in production.

SAM 2.1EfficientSAMdepth estimationONNX exportedge inference
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Issue #183
Feb 25, 2026
11 min

SAM 2.1 vs. EfficientSAM: Zero-Shot Segmentation at 60fps on Edge Devices

We benchmarked both architectures across 14 datasets. The 2.3× throughput gap comes down to three decoder design choices — here is exactly what they are and when each model wins.

SAM 2.1EfficientSAMONNX export
Issue #182
Feb 18, 2026
13 min

Depth Anything V2 in Production: Metric vs. Relative Depth for AV Pipelines

Relative depth looks great in demos. Metric depth is what your planning stack needs. We mapped the fine-tuning data requirements, latency budget, and the two failure modes nobody writes about.

depth estimationDepth Anything V2AV pipelines
Issue #181
Feb 11, 2026
9 min

YOLO12 Benchmark: Does the Attention Mechanism Actually Help Real-Time Detection?

A thorough breakdown of the A1 attention module, mAP vs. latency trade-offs across seven hardware targets, and the practical verdict on whether to migrate your existing YOLO11 pipeline.

YOLO12object detectionreal-time inference

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Object Detection58
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