update zsod-data.ts #443
update zsod-data.ts #443
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leandstvh
requested review from
osanseviero,
SBrandeis,
gary149 and
Wauplin
as code owners
osanseviero
requested review from
merveenoyan
and removed request for
gary149,
osanseviero,
Wauplin and
SBrandeis
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Thanks a lot for this! BTW @GuichardVictor is contributing the same page in this PR: #435 maybe you could align with this changes and contribute on top of it?
| @@ -0,0 +1,15 @@ | |||
| ## Use Cases | |||
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I think if you're not contributing content to this page you can remove the file itself since placeholder pretty much says the same thing
| id: "imagenet-1k" | ||
| }, | ||
| { | ||
| description: "Microsoft COCO, a large-scale dataset of object instance segmentation, aims to advance object recognition by placing it in the context of scene understanding. It comprises 328k images with 2.5 million labeled instances of 91 common objects easily recognizable by a 4-year-old. ", |
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In1k is enough for now, we can remove coco
| demo: { | ||
| inputs: [ | ||
| { | ||
| filename: "zero-sh-obj-detection_1.png" |
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Can you upload this image by opening a PR to here? https://huggingface.co/datasets/huggingfacejs/tasks
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also would be nice to stick to general convention of how we name files (you can take a look at other task pages for example)
| type: "chart", | ||
| data: [ | ||
| { | ||
| label: "human face", |
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Zero shot object detection doesn't return a chart but directly a class probability with bounding box, you can take a look at the example task page https://huggingface.co/tasks/object-detection (and it's files in this repository)
| ], | ||
| models: [ | ||
| { | ||
| description: "OWL-ViT is a zero-shot text-conditioned object detection model that uses CLIP as its multi-modal backbone to detect objects in images based on textual descriptions. It can handle multiple text queries per image and has been trained on standard detection datasets using a bipartite matching loss." |
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We tend to keep the descriptions shorter
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@leandstvh can you solve merge conflicts? |
added details to data.ts file for zero-shot object detection