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Update recommended models for 2 tasks #883

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merged 9 commits into from
Oct 16, 2024
Merged

Update recommended models for 2 tasks #883

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240cb28
First draft
NielsRogge Aug 29, 2024
f392488
Update description
NielsRogge Sep 2, 2024
8679c09
Merge remote-tracking branch 'upstream/main' into update_tasks
NielsRogge Oct 8, 2024
6552456
Apply prettier
NielsRogge Oct 8, 2024
c4c130e
Update packages/tasks/src/tasks/object-detection/data.ts
NielsRogge Oct 16, 2024
a070b1b
Update packages/tasks/src/tasks/object-detection/data.ts
NielsRogge Oct 16, 2024
e1028f0
Update packages/tasks/src/tasks/image-segmentation/data.ts
NielsRogge Oct 16, 2024
b64f1dd
Update packages/tasks/src/tasks/image-segmentation/data.ts
NielsRogge Oct 16, 2024
876caee
Merge branch 'main' into update_tasks
NielsRogge Oct 16, 2024
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2 changes: 1 addition & 1 deletion packages/tasks/src/tasks/image-segmentation/about.md
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Expand Up @@ -48,7 +48,7 @@ import { HfInference } from "@huggingface/inference";
const inference = new HfInference(HF_TOKEN);
await inference.imageSegmentation({
data: await (await fetch("https://picsum.photos/300/300")).blob(),
model: "facebook/detr-resnet-50-panoptic",
model: "facebook/mask2former-swin-base-coco-panoptic",
});
```

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12 changes: 6 additions & 6 deletions packages/tasks/src/tasks/image-segmentation/data.ts
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Expand Up @@ -44,21 +44,21 @@ const taskData: TaskDataCustom = {
models: [
{
// TO DO: write description
description: "Solid panoptic segmentation model trained on the COCO 2017 benchmark dataset.",
id: "facebook/detr-resnet-50-panoptic",
description: "Solid semantic segmentation model fine-tuned on ADE20k, an important benchmark comprising 150 classes.",
id: "openmmlab/upernet-convnext-small",
},
{
description: "Background removal model.",
id: "briaai/RMBG-1.4",
},
{
description: "Semantic segmentation model trained on ADE20k benchmark dataset with 512x512 resolution.",
id: "nvidia/segformer-b0-finetuned-ade-512-512",
},
{
description: "A multipurpose image segmentation model for high resolution images.",
id: "ZhengPeng7/BiRefNet",
},
{
description: "Semantic segmentation model fine-tuned on ADE20k at 512x512 resolution.",
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id: "nvidia/segformer-b0-finetuned-ade-512-512",
},
{
description: "Panoptic segmentation model trained COCO (common objects) dataset.",
id: "facebook/mask2former-swin-large-coco-panoptic",
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8 changes: 4 additions & 4 deletions packages/tasks/src/tasks/object-detection/data.ts
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Expand Up @@ -43,15 +43,15 @@ const taskData: TaskDataCustom = {
],
models: [
{
description: "Solid object detection model trained on the benchmark dataset COCO 2017.",
description: "Solid object detection model pre-trained on the COCO 2017 dataset.",
id: "facebook/detr-resnet-50",
},
{
description: "Strong object detection model trained on ImageNet-21k dataset.",
id: "microsoft/beit-base-patch16-224-pt22k-ft22k",
description: "YOLOv10 is great model for real-time and accurate object detection.",
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id: "jameslahm/yolov10x",
},
{
description: "Fast and accurate object detection model trained on COCO dataset.",
description: "RT-DETR is a fast and accurate object detection model pre-trained on the COCO and Object365 datasets.",
id: "PekingU/rtdetr_r18vd_coco_o365",
},
],
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