Add classes to the Flowers102 dataset

[ageron]

Many datasets provide class names, why not Flowers102?
This PR adds the class names to the Flowers102 class.

[pytorch-bot]

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❌ 26 New Failures, 18 Unrelated Failures

As of commit 56d8c33 with merge base d3beb52 ():

NEW FAILURES - The following jobs have failed:

• Build Aarch64 Linux Wheels / pytorch/vision / upload / wheel-py3_9-cpu-aarch64 (gh)
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• Build Linux Wheels / pytorch/vision / upload / manywheel-py3_9-cpu (gh)
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• Build Linux Wheels / pytorch/vision / upload / manywheel-py3_9-cuda12_6 (gh)
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• Build Linux Wheels / pytorch/vision / upload / manywheel-py3_9-rocm6_3 (gh)
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• Build Windows Wheels / pytorch/vision / upload / wheel-py3_9-cuda12_6 (gh)
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• Build Windows Wheels / pytorch/vision / wheel-py3_9-cpu (gh)
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• CMake / linux (linux.g5.4xlarge.nvidia.gpu, cuda, 11.8) / linux-job (gh)
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• CMake / windows (windows.4xlarge, cpu) / windows-job (gh)
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• CMake / windows (windows.g5.4xlarge.nvidia.gpu, cuda, 11.8) / windows-job (gh)
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• Tests / unittests-linux (3.10, linux.12xlarge, cpu) / linux-job (gh)
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• Tests / unittests-linux (3.9, linux.12xlarge, cpu) / linux-job (gh)
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• Tests / unittests-linux (3.9, linux.g5.4xlarge.nvidia.gpu, cuda, 11.8) / linux-job (gh)
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• Tests / unittests-macos (3.11, macos-m1-stable) / macos-job (gh)
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• Tests / unittests-macos (3.12, macos-m1-stable) / macos-job (gh)
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• Tests / unittests-macos (3.9, macos-m1-stable) / macos-job (gh)
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• Tests / unittests-windows (3.11, windows.4xlarge, cpu) / windows-job (gh)
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FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

• Build Aarch64 Linux Wheels / pytorch/vision / wheel-py3_9-cpu-aarch64 (gh) (detected as infra flaky with no log or failing log classifier)
• Build Aarch64 Linux Wheels / pytorch/vision / wheel-py3_9-cuda-aarch64cuda-aarch64 (gh) (detected as infra flaky with no log or failing log classifier)
• Build Linux Wheels / pytorch/vision / upload / manywheel-py3_9-cuda11_8 (gh) (detected as infra flaky with no log or failing log classifier)
• Build Linux Wheels / pytorch/vision / upload / manywheel-py3_9-rocm6_2_4 (gh) (detected as infra flaky with no log or failing log classifier)
• Build Linux Wheels / pytorch/vision / upload / manywheel-py3_9-xpu (gh) (detected as infra flaky with no log or failing log classifier)
• Build M1 Wheels / pytorch/vision / upload / wheel-py3_9-cpu (gh) (detected as infra flaky with no log or failing log classifier)
• Build M1 Wheels / pytorch/vision / wheel-py3_9-cpu (gh) (detected as infra flaky with no log or failing log classifier)
• Build Windows Wheels / pytorch/vision / upload / wheel-py3_9-cpu (gh) (detected as infra flaky with no log or failing log classifier)
• Build Windows Wheels / pytorch/vision / upload / wheel-py3_9-cuda12_4 (gh) (detected as infra flaky with no log or failing log classifier)
• Build Windows Wheels / pytorch/vision / upload / wheel-py3_9-xpu (gh) (detected as infra flaky with no log or failing log classifier)
• CMake / linux (linux.12xlarge, cpu) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)
• Tests / unittests-linux (3.11, linux.12xlarge, cpu) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)
• Tests / unittests-linux (3.12, linux.12xlarge, cpu) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)
• Tests / unittests-macos (3.10, macos-m1-stable) / macos-job (gh) (detected as infra flaky with no log or failing log classifier)
• Tests / unittests-windows (3.10, windows.4xlarge, cpu) / windows-job (gh) (detected as infra flaky with no log or failing log classifier)
• Tests / unittests-windows (3.12, windows.4xlarge, cpu) / windows-job (gh) (detected as infra flaky with no log or failing log classifier)
• Tests / unittests-windows (3.9, windows.4xlarge, cpu) / windows-job (gh) (detected as infra flaky with no log or failing log classifier)
• Tests / unittests-windows (3.9, windows.g5.4xlarge.nvidia.gpu, cuda, 11.8) / windows-job (gh) (detected as infra flaky with no log or failing log classifier)

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[NicolasHug]

Thansk for the PR @ageron , this looks good. Just to make sure these are correct, can you share how you created the classes list?