Datasets:
Update README.md
Browse filesadding all existing datasets
README.md
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@@ -65,8 +65,101 @@ Machine learning depends on labeled data, but accessing such data in biology and
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LILA BC is intended to host data from a variety of modalities, but emphasis is placed on labeled images; it currently has over ten million labeled images.
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<details>
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<summary>
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</details>
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LILA BC is intended to host data from a variety of modalities, but emphasis is placed on labeled images; it currently has over ten million labeled images.
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See below for information about each specific dataset that LILA contains:
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<details>
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<summary> Caltech Camera Traps </summary>
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</details>
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<details>
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<summary> ENA24 </summary>
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</details>
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<details>
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<summary> Missouri Camera Traps </summary>
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</details>
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<details>
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<summary> NACTI </summary>
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</details>
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<details>
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<summary> WCS Camera Traps </summary>
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</details>
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<details>
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<summary> Wellington Camera Traps </summary>
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</details>
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<details>
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<summary> Island Conservation Camera Traps </summary>
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</details>
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<details>
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<summary> Channel Islands Camera Traps </summary>
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</details>
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<details>
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<summary> Idaho Camera Traps </summary>
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</details>
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<details>
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<summary> Snapshot Serengeti </summary>
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</details>
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<details>
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<summary> Snapshot Karoo </summary>
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</details>
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<details>
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<summary> Snapshot Kgalagadi </summary>
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</details>
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<details>
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<summary> Snapshot Enonkishu </summary>
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</details>
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<details>
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<summary> Snapshot Camdeboo </summary>
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</details>
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<details>
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<summary> Snapshot Mountain Zebra </summary>
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</details>
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<details>
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<summary> Snapshot Kruger </summary>
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</details>
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<details>
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<summary> SWG Camera Traps </summary>
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</details>
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<details>
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<summary> Orinoquia Camera Traps </summary>
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</details>
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