\n ## Stacked Bar Chart: Accuracy on It (%) vs. Average Image Size Interval ### Overview This is a stacked bar chart comparing the accuracy on a metric "It" (%) for different models (Gemini-2.0 RSPC, Gemini-2.0 KAAR, DeepSeek-R1-70B RSPC, DeepSeek-R1-70B KAAR) across various average image size intervals. The x-axis represents the image size intervals, and the y-axis represents the accuracy percentage. Each bar is segmented to show the contribution of each model to the overall accuracy for that image size interval. ### Components/Axes * **X-axis:** Average Image Size Interval (width x height). The intervals are: (0, 25], (25, 100], (100, 225], (225, 400], (400, 625], (625, 900]. Below each interval, the total number of images in that interval is provided. * **Y-axis:** Accuracy on It (%). The scale ranges from 0 to 80. * **Legend:** Located at the top-right of the chart. * Gemini-2.0 RSPC (Dark Green) * Gemini-2.0 KAAR (Light Green) * DeepSeek-R1-70B RSPC (Light Brown) * DeepSeek-R1-70B KAAR (Dark Brown) ### Detailed Analysis The chart consists of six stacked bars, one for each image size interval. The values are as follows: * **(0, 25]**: * Gemini-2.0 RSPC: 63.2% * Gemini-2.0 KAAR: 5.3% * DeepSeek-R1-70B RSPC: 47.4% * DeepSeek-R1-70B KAAR: 15.8% * Total: 19 * **(25, 100]**: * Gemini-2.0 RSPC: 28.8% * Gemini-2.0 KAAR: 7.9% * DeepSeek-R1-70B RSPC: 15.1% * DeepSeek-R1-70B KAAR: 6.5% * Total: 139 * **(100, 225]**: * Gemini-2.0 RSPC: 9.3% * Gemini-2.0 KAAR: 4.7% * DeepSeek-R1-70B RSPC: 7.0% * DeepSeek-R1-70B KAAR: 0.8% * Total: 129 * **(225, 400]**: * Gemini-2.0 RSPC: 5.9% * Gemini-2.0 KAAR: 2.0% * DeepSeek-R1-70B RSPC: 5.9% * DeepSeek-R1-70B KAAR: 0.0% * Total: 51 * **(400, 625]**: * Gemini-2.0 RSPC: 0.0% * Gemini-2.0 KAAR: 0.0% * DeepSeek-R1-70B RSPC: 0.0% * DeepSeek-R1-70B KAAR: 0.0% * Total: 39 * **(625, 900]**: * Gemini-2.0 RSPC: 0.0% * Gemini-2.0 KAAR: 0.0% * DeepSeek-R1-70B RSPC: 0.0% * DeepSeek-R1-70B KAAR: 0.0% * Total: 23 **Trends:** * For the smallest image size interval (0, 25], Gemini-2.0 RSPC and DeepSeek-R1-70B RSPC contribute the most to the overall accuracy. * As the image size interval increases, the overall accuracy tends to decrease. * For larger image size intervals (400, 625] and (625, 900]), the accuracy for all models is very low, approaching zero. * Gemini-2.0 KAAR consistently contributes a smaller percentage to the overall accuracy compared to Gemini-2.0 RSPC. * DeepSeek-R1-70B KAAR's contribution is generally lower than DeepSeek-R1-70B RSPC, especially in the smaller image size intervals. ### Key Observations * The highest accuracy is achieved in the (0, 25] image size interval. * Accuracy drops significantly as the image size increases. * The models perform poorly on larger images, suggesting a limitation in their ability to process high-resolution images. * The number of images in each interval varies significantly, with the (25, 100] interval having the most images (139) and the (625, 900] interval having the fewest (23). ### Interpretation The data suggests that the models' performance is highly dependent on the image size. They achieve relatively high accuracy on small images but struggle with larger images. This could be due to several factors, such as computational limitations, the need for more training data on larger images, or inherent limitations in the models' architectures. The significant drop in accuracy for larger images indicates a potential bottleneck in the models' ability to extract relevant features from high-resolution images. The varying number of images per interval could also influence the observed accuracy, as smaller intervals might be more susceptible to outliers. The consistent lower performance of the KAAR variants compared to the RSPC variants suggests a potential difference in their underlying mechanisms or training data. Further investigation is needed to understand the specific reasons for these performance differences and to develop strategies for improving the models' performance on larger images.