Rapidata/Face_Generation_Benchmark

Rapidata Human Face Generation Alignment

This T2I dataset contains over ~22'000 human responses, collected in less than 1h using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation. Evaluating 12 different image generation models on which one can generate faces more accurately.

The question that the annotators get asked is: "Which Image follows the description of the human better?"

To evaluate your own models and create leaderboard check out our MRI

The resulting leaderboard

Checkout the full leaderboard here: https://app.rapidata.ai/mri/benchmarks/68af24ae74482280b62f7596

	name	wins	total_matches	score
0	bytedance/seedream-3	2604	4472	1123.630000
1	qwen/qwen-image	1654	2877	1110.540000
2	recraft-ai/recraft-v3	1157	2028	1105.070000
3	minimax/image-01	2726	5125	1051.620000
4	google/imagen-4-fast	3205	6180	1027.690000
5	black-forest-labs/flux-1.1-pro	1272	2650	969.560000
6	prunaai/wan-2.2-image	1121	2344	967.050000
7	ideogram-ai/ideogram-v3-balanced	2868	6170	962.890000
8	luma/photon	1839	3934	955.450000
9	bria/image-3.2	1507	3226	951.530000
10	luma/photon-flash	1499	3529	889.910000
11	black-forest-labs/flux-schnell	1024	2417	885.060000