Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Tr
Install
KitScout test notes
Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.
Similar tools
- academy-guide 194,218 ★
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product - claude-api 194,218 ★
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, c - ccs-align 116,897 ★
Run the CCS Align seat's hourly breathing cycle — prove the local claude-mem worker is healthy, pull needle ob - mode-creator 116,897 ★
Interactively create, install, activate, and verify custom claude-mem modes, including domain-specific observa - html-ppt-hermes-cyber-terminal 107,550 ★
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Bui