{
  "$schema": "https://fundingjson.org/schema/v1.1.0.json",
  "version": "v1.1.0",
  "entity": {
    "type": "individual",
    "role": "owner",
    "name": "Mustafa Ege Tosun",
    "email": "ege@fotonet.studio",
    "description": "We are iMGE, an independent studio that builds fotonet and fotonet Studio. fotonet started because a commercial licence for an existing detector was out of our budget, so we built our own, and we made it free for everyone. We design, train, test and document every fotonet model ourselves, on our own hardware. Funding goes to training compute and to the time it takes to keep fotonet maintained, documented and free.",
    "webpageUrl": {
      "url": "https://fotonet.studio"
    }
  },
  "projects": [
    {
      "guid": "fotonet",
      "name": "fotonet",
      "description": "fotonet is a free, open-source object detection library for Python: labeling, inference, training and export in one package. Its models are designed and trained from scratch on COCO alone, with no outside pretraining and no distillation, and they return one box per object with no NMS step. They export to ONNX, TensorRT, Core ML and other runtimes, so the same model runs on servers, in browsers, on phones and on small boards. fotonet is meant for anyone who builds with object detection, from hobbyists to companies shipping products, without licence fees or strings attached.",
      "webpageUrl": {
        "url": "https://fotonet.studio"
      },
      "repositoryUrl": {
        "url": "https://github.com/iMGEai/fotonet",
        "wellKnown": "https://github.com/iMGEai/fotonet/blob/main/.well-known/funding-manifest-urls"
      },
      "licenses": [
        "spdx:Apache-2.0"
      ],
      "tags": [
        "object-detection",
        "computer-vision",
        "machine-learning",
        "deep-learning",
        "python",
        "pytorch",
        "onnx",
        "edge-ai",
        "real-time",
        "image-annotation"
      ]
    }
  ],
  "funding": {
    "channels": [
      {
        "guid": "bank",
        "type": "bank",
        "description": "Bank transfer, for grants and sponsorships. Details on request by email."
      },
      {
        "guid": "patreon",
        "type": "payment-provider",
        "address": "https://www.patreon.com/iMGEai",
        "description": "Patreon, monthly support."
      }
    ],
    "plans": [
      {
        "guid": "maintainer-time",
        "status": "active",
        "name": "Maintainer time",
        "description": "One year of full-time work on fotonet: new models, the trainer, exporters, docs and support for people who use it.",
        "amount": 24000,
        "currency": "USD",
        "frequency": "yearly",
        "channels": [
          "bank"
        ]
      },
      {
        "guid": "training-compute",
        "status": "active",
        "name": "Training compute",
        "description": "Cloud GPU time for full COCO training runs and the benchmarks behind every published number. Today every model trains on a single consumer GPU.",
        "amount": 6000,
        "currency": "USD",
        "frequency": "yearly",
        "channels": [
          "bank"
        ]
      },
      {
        "guid": "supporter",
        "status": "active",
        "name": "Supporter",
        "description": "Any amount, to help keep fotonet free.",
        "amount": 0,
        "currency": "USD",
        "frequency": "monthly",
        "channels": [
          "patreon"
        ]
      }
    ]
  }
}