Prompt: Annotations that do not fully enclose an object
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How models perform on this prompt
Arcee.ai Spotlight
Model answer: 1
Claude 3.5 Haiku
Model answer: 1
Claude 4 Sonnet
Model answer: I need to count the yellow rectangular annotations that do not fully surround/enclose an object. Looking at the image, I can see several yellow rectangular bounding boxes overlaid on what appears to be beverage cans. Let me examine each annotation: 1. There are multiple overlapping rectangular annotations of different sizes 2. Some appear to fully enclose cans or portions of cans 3. I need to identify which ones do not completely surround/enclose an object Examining the annotations carefully, I can see that there are some rectangular boxes that appear to be partial or incomplete in terms of fully surrounding objects. Counting the annotations that do not fully surround an object: 2
Claude 4.1 Opus
Model answer: Looking at the image, I can see 6 yellow rectangular bounding boxes overlaid on aluminum cans on what appears to be a production line. Each bounding box appears to be attempting to detect/annotate a can. Examining each annotation: 1. Leftmost box - partially cuts off the can on the left side 2. Second box - doesn't fully contain the can (cuts off bottom) 3. Third box - doesn't fully contain the can (cuts off bottom) 4. Fourth box - doesn't fully contain the can (cuts off bottom) 5. Fifth box - doesn't fully contain the can (cuts off bottom) 6. Rightmost/bottom box - doesn't fully contain the can (cuts off top) All 6 annotations fail to fully surround their respective objects. 6
Cohere Aya Vision 8B
Model answer: There are 10 annotations that do not fully surround an object.
GPT-5 with High Reasoning
Model answer: 1
Gemini 1.5 Pro
Model answer: 1
Gemini 2.0 Flash
Model answer: 1
Gemini 2.5 Flash
Model answer: There are 7 yellow bounding boxes in the image. Let's examine each one to see if it fully surrounds the object it's annotating: 1. **First can (leftmost):** The bounding box covers the visible part of the can and extends to the bottom of the image, indicating it's annotating a truncated object. This is a standard way to annotate a partially visible object, and it fully surrounds the *visible portion* of the object. 2. **Second can:** Similar to the first, the box covers the visible part and extends to the image boundary. It fully surrounds the visible portion. 3. **Third can:** Similar to the first, the box covers the visible part and extends to the image boundary. It fully surrounds the visible portion. 4. **Fourth can:** Similar to the first, the box covers the visible part and extends to the image boundary. It fully surrounds the visible portion. 5. **Fifth can:** The bounding box only covers the bottom part of the can. The top part of the can is clearly visible above the bounding box. Therefore, this annotation **does not fully surround** the object. 6. **Sixth can:** The bounding box only covers the bottom part of the can. The top part of the can is clearly visible above the bounding box. Therefore, this annotation **does not fully surround** the object. 7. **Seventh can:** The bounding box only covers the bottom part of the can. The top part of the can is clearly visible above the bounding box. Therefore, this annotation **does not fully surround** the object. Based on this analysis, there are 3 annotations that do not fully surround their respective objects. 3
OpenAI O3 (Medium Reasoning)
Model answer: 1
OpenAI O4 Mini (Medium Reasoning)
Model answer: 1
OpenAI o3-pro
Model answer: 1
Phi 4 Multimodal
Model answer: 1
Qwen 2.5 VL 7B
Model answer: 1
ChatGPT-4o (High Reasoning)
Model answer: 3
ChatGPT-4o (Medium Reasoning)
Model answer: 2
Claude 3.7 Sonnet
Model answer: Looking at the image, I can see several aluminum beverage cans on what appears to be a production or packaging line. The cans have condensation droplets on them, suggesting they're cold. Each can has a yellow rectangular annotation box around it. Examining these annotations carefully, I count 2 annotation boxes that do not fully surround their respective objects. Some of the rectangular outlines only partially capture the cans they're meant to highlight. The answer is 2.
Claude 4 Opus
Model answer: Looking at the image, I can see yellow rectangular bounding boxes around aluminum cans on what appears to be a production line. Each annotation should fully surround a can. Examining each bounding box: - Most boxes properly surround their respective cans - However, I can identify 2 annotations that do not fully surround their objects - they appear to cut off portions of the cans they're meant to annotate 2
Cohere Aya Vision 32B
Model answer: 0
GPT-4.1
Model answer: 5
GPT-4.1 Mini
Model answer: 6
GPT-4.1 Nano
Model answer: 2
GPT-5
Model answer: 2
GPT-5 (high reasoning)
Model answer: 2
GPT-5 Mini
Model answer: 0
GPT-5 Nano
Model answer: 3
Gemini 1.5 Flash
Model answer: 2
Gemini 2.0 Flash Lite
Model answer: 2
Gemini 2.5 Flash Lite
Model answer: 2
Gemini 2.5 Pro
Model answer: 4
Gemma 3 27b
Model answer: 6
Gemma 3 4B
Model answer: 2
Llama 4 Maverick 17B
Model answer: The image shows a production line with cans being processed, and there are several annotations (yellow rectangles) highlighting different parts of the scene. To determine how many annotations do not fully surround an object, we need to examine each annotation carefully. Upon closer inspection, we can see that some annotations are partially covering other objects or extending beyond the boundaries of the cans. Specifically: * The second annotation from the left is partially covering another can. * The third annotation from the left is also partially covering another can. * The fourth annotation from the left is partially covering the black object. * The fifth annotation from the left is not fully surrounding the can. By counting these instances, we find that there are 4 annotations that do not fully surround an object. Therefore, the answer is: 4
Llama 4 Scout 17B
Model answer: 4.
Mistral Medium 3
Model answer: 4.
Mistral Small 3.1 24B
Model answer: 2.
OpenAI O1
Model answer: 0
OpenAI O3 (High Reasoning)
Model answer: 3
OpenAI O4 Mini (High Reasoning)
Model answer: 2