Row 8099

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This page contains data entry 8099 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Raw Record

{
  "text": "We introduce Grounding DINO 1.5, which is our most powerful open-world object detection model series. Building on the solid foundation of its predecessor, Grounding DINO, this enhanced model increases both the model size and its training dataset, enhancing its ability to understand and detect visual objects more accurately.\n\nGithub Link: [https://github.com/IDEA-Research/Grounding-DINO-1.5-API](https://github.com/IDEA-Research/Grounding-DINO-1.5-API)\n\nOnline Demo: [https://deepdataspace.com/home](https://deepdataspace.com/home)\n\nHuggingface Demo: [https://huggingface.co/spaces/Mountchicken/Grounding-DINO-1.5](https://huggingface.co/spaces/Mountchicken/Grounding-DINO-1.5)\n\narXiv Link: [https://arxiv.org/abs/2405.10300](https://arxiv.org/abs/2405.10300)\n\n# Zero-Shot Performance Compare with Grounding DINO\n\nhttps://preview.redd.it/7sc0fq58k71d1.png?width=1149&format=png&auto=webp&s=3312392b5d6b820fa446f8cc2600c52ce33a6079\n\ndetailed performance:\n\nhttps://preview.redd.it/kcpd3awek71d1.png?width=1280&format=png&auto=webp&s=498acee90fa95c73a87f8e9ee92a0f27430b2c51\n\n# Fine-tuning Performance on Downstream Tasks\n\ncompare with Grounding DINO\n\nhttps://preview.redd.it/d0spf0jjk71d1.png?width=1020&format=png&auto=webp&s=46073d82f6d9468852a5595b93df99b0148208f2\n\ndetailed performance\n\nhttps://preview.redd.it/5m85gsylk71d1.png?width=1756&format=png&auto=webp&s=554d0b72621d79482c1ba11ba2821b51d1c65459\n\n# Visualizations\n\nhttps://preview.redd.it/lob31unpk71d1.png?width=1052&format=png&auto=webp&s=02fbffb5f23d6d8cb6b3d5cbe4e5a2146365d977\n\nhttps://preview.redd.it/f1oufwnpk71d1.png?width=1039&format=png&auto=webp&s=42b906c6517181612583f89d0e69b73f3f9738d8\n\nhttps://preview.redd.it/xxp98kopk71d1.png?width=1066&format=png&auto=webp&s=8dd7e47a1da43a62a41c2b78489b54816e208d7d\n\nhttps://preview.redd.it/0l6te2opk71d1.png?width=1011&format=png&auto=webp&s=81c5a777a9728449b452c1cef4017fcc2e6f13e3\n\nhttps://preview.redd.it/4fwp33spk71d1.png?width=2365&format=png&auto=webp&s=009c5f063fb2f0688e334d0f815e528926ce9430\n\nhttps://preview.redd.it/nsgmwdspk71d1.png?width=2365&format=png&auto=webp&s=3e7125d6fa8799ad75e1db869538781c59689daf\n\nhttps://preview.redd.it/o01ycarpk71d1.png?width=2367&format=png&auto=webp&s=fdffd0b2ddbff78b1b46286256e0178993304e0a\n\nhttps://preview.redd.it/absfvhopk71d1.png?width=1105&format=png&auto=webp&s=d760d0082b7c271837b844c70973068db00a4e7b\n\nhttps://preview.redd.it/8apy7ropk71d1.png?width=1118&format=png&auto=webp&s=8686af325641535bcd4baf12152918f5b7e60bcc\n\nhttps://preview.redd.it/p65qh6qpk71d1.png?width=1106&format=png&auto=webp&s=2d9a62edf6dd6f086cd0396eca7df0c43356b6f0\n\nhttps://preview.redd.it/mavta4qpk71d1.png?width=1038&format=png&auto=webp&s=d031236a761720de80e4d5e6468a41dc9f988f6a\n\nhttps://preview.redd.it/th55xqppk71d1.png?width=1087&format=png&auto=webp&s=0266ebb44a9c24b5e611ce1fdbb2bcd9abf51725\n\nhttps://preview.redd.it/0373ueqpk71d1.png?width=999&format=png&auto=webp&s=f1379231677d157a706ffd2a5bdf451ca61517bb\n\n\n\n",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-18",
  "username_encoded": "Z0FBQUFBQm5LakwzSzBjMDR0d1VDN1ZscjZrNi1QbVM4SG55MmdidERvOWZ0eWk1V0hJZVE0WmVjckV2SmFrNjZVS1JmbF92ZnZFN0FUV044OVNEeW5PNFhTTnF2MEZQY0FYRGNpTGg2dXRuQU9pVmxYTTRHcVk9",
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}

Entry Information

• Entry ID: 8099
• Repository: Axioma AXP
• Dataset: arrmlet/reddit_dataset_36
• Total Entries: 100,000