Row 8232

Row ID: 8232 | Dataset Entry | Axioma AXP Content Repository

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I'm trying to train the ViTMAE encoder to learn representations of some Hyperspectral Satellite Images. The Images are in TIFF format and have many bands (224). Is it possible to train the ViTMAE with this high number of input bands? Any idea how I should go about it?

FieldValue
text I'm trying to train the ViTMAE encoder to learn representations of some Hyperspectral Satellite Images. The Images are in TIFF format and have many bands (224). Is it possible to train the ViTMAE with this high number of input bands? Any idea how I should go about it?
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-18
username_encoded Z0FBQUFBQm5Lakw0T3pYQW1YTzYzLVpDV1VDZ2tGS0Z6TE5naEp5b3I1Y0NjVDc4UzVrOGhkVjNveVFCQ2RDcTVlT2VzSnl3VHlUWUdFM18zeXIzSFcway1ORV9HNVNOX0E9PQ==
url_encoded Z0FBQUFBQm5Lak9ILWpQTGI0bjFTS2VhS1hBOGVpR2l3elFnWkRfUUt0N0l3UFhEZWhHajI0NmtFcERPWDNnYWw1TjFLTldTUEM2SnRsT0VUQmxvdExGek51U2laVk00bjRaWG9WeWNlQXhpLTNPSExkSEloV0ZJamR3ZWdxQkZMOTFrel95b2Jha1ZQZ0Y0OFN5Y01kNlNKMlpmU3NuYUNNSVZFZjFZaVpldnV3bXdZckoweGRUTGNYSWRKQS1fZFVFVTg3TU9mMW1pMWpKNHAwTlBpNjBwelowYnBManh3dz09

Raw Record

{
  "text": "I'm trying to train the ViTMAE encoder to learn representations of some Hyperspectral Satellite Images. The Images are in TIFF format and have many bands (224). Is it possible to train the ViTMAE with this high number of input bands? Any idea how I should go about it?",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-18",
  "username_encoded": "Z0FBQUFBQm5Lakw0T3pYQW1YTzYzLVpDV1VDZ2tGS0Z6TE5naEp5b3I1Y0NjVDc4UzVrOGhkVjNveVFCQ2RDcTVlT2VzSnl3VHlUWUdFM18zeXIzSFcway1ORV9HNVNOX0E9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9ILWpQTGI0bjFTS2VhS1hBOGVpR2l3elFnWkRfUUt0N0l3UFhEZWhHajI0NmtFcERPWDNnYWw1TjFLTldTUEM2SnRsT0VUQmxvdExGek51U2laVk00bjRaWG9WeWNlQXhpLTNPSExkSEloV0ZJamR3ZWdxQkZMOTFrel95b2Jha1ZQZ0Y0OFN5Y01kNlNKMlpmU3NuYUNNSVZFZjFZaVpldnV3bXdZckoweGRUTGNYSWRKQS1fZFVFVTg3TU9mMW1pMWpKNHAwTlBpNjBwelowYnBManh3dz09"
}
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