card: add booking link for pilots and catalog evaluation
Browse files
README.md
CHANGED
|
@@ -92,6 +92,12 @@ Plain bi-encoder: one 768-d vector per image, one per query, cosine similarity.
|
|
| 92 |
|
| 93 |
Measured on six academic fashion benchmarks (DeepFashion In-Shop, DeepFashion Multimodal, Fashion200K, Polyvore, Atlas, KAGL) at **full corpus** — no gallery subsampling — plus H&M (10K, MRR) and ZooClaw-Fashion (12K, MAP@10), all through one open harness with identical preprocessing per model. Where Pro Lite loses (instance retrieval, caption-style sets), the card for [MODA](https://huggingface.co/HopitAI/moda-fashionsiglip-multiview-203m) shows the stronger pick — see the [full comparison](https://hopit-ai.github.io/Moda/) rather than a cherry-picked subset.
|
| 94 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
## Citation
|
| 96 |
|
| 97 |
```bibtex
|
|
|
|
| 92 |
|
| 93 |
Measured on six academic fashion benchmarks (DeepFashion In-Shop, DeepFashion Multimodal, Fashion200K, Polyvore, Atlas, KAGL) at **full corpus** — no gallery subsampling — plus H&M (10K, MRR) and ZooClaw-Fashion (12K, MAP@10), all through one open harness with identical preprocessing per model. Where Pro Lite loses (instance retrieval, caption-style sets), the card for [MODA](https://huggingface.co/HopitAI/moda-fashionsiglip-multiview-203m) shows the stronger pick — see the [full comparison](https://hopit-ai.github.io/Moda/) rather than a cherry-picked subset.
|
| 94 |
|
| 95 |
+
## Using this in production
|
| 96 |
+
|
| 97 |
+
MODA Pro Lite is free to use under Apache-2.0. If you want the hosted MODA Pro,
|
| 98 |
+
help evaluating on your own catalog, or a pilot, [book a call](https://calendly.com/arkid_/new-meeting?back=1) — we bring
|
| 99 |
+
specific examples from your category and a proposed pilot shape.
|
| 100 |
+
|
| 101 |
## Citation
|
| 102 |
|
| 103 |
```bibtex
|