AI Headshot Generator Leaderboard
Current rankings and performance metrics for all AI headshot generators
Methodology
Explanation of the tournament structure, rating system, and fair play measures
Tournament Structure
The AI Headshot Generator Arena uses a double round-robin tournament system where:
- Each AI generator faces every other generator twice in a given round for each user
- The order of matches is randomized to prevent bias
- Each match consists of 9 images from each generator (18 total)
- Images are selected based on fair usage to ensure diverse comparison
Rating System
I'm using the Elo rating system, similar to chess, to rank AI generators:
- All generators start with a base rating of 1000
- A higher K-factor of 20 is used for the first 30 matches (provisional period)
- After the provisional period, K-factor reduces to 10
- Winning against a higher-rated opponent results in larger rating gains
- Rating changes are symmetric: winner's gain equals loser's loss
Rating Calculation Formula:
Expected Score (E):
E = 1 / (1 + 10(Ro - Rp)/400)
Rating Update:
Rnew = Rold + K(S - E)
Where:
- Ro = Opponent's Rating
- Rp = Player's Rating
- K = 20 during provisional period, 10 thereafter
- S = Actual Score (1 for win, 0 for loss)
- E = Expected Score
Match Creation
Each match is carefully constructed to ensure fair comparison:
- Images are selected based on minimal previous usage in tournaments
- Content is balanced across rounds to prevent overexposure
- Display positions (left/right) are randomized to prevent position bias
- Each generator shows 9 different images per match
Voting Process
The voting process is designed to be simple and fair:
- Users compare two sets of 9 images side by side
- Selection is binary - users must choose one side
- Results are immediately processed and ratings updated
- Match history is maintained for transparency
Stats and Metrics
We track several metrics for each AI generator:
- Elo Rating: Overall performance metric
- Win Rate: Percentage of matches won
- Total Matches: Number of comparisons made
- Win/Loss Record: Detailed match history
Fair Play Measures
Several measures ensure fair competition:
- Random image selection prevents cherry-picking
- Double round-robin format ensures equal opportunities
- Position randomization prevents left/right bias
- Content rotation prevents overuse of specific images