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Broken download links for Caltech101 and Caltech256 datasets #9097

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JonasKlotz opened this issue Jun 4, 2025 · 0 comments · May be fixed by #9098
Open

Broken download links for Caltech101 and Caltech256 datasets #9097

JonasKlotz opened this issue Jun 4, 2025 · 0 comments · May be fixed by #9098

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@JonasKlotz
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🐛 Describe the bug

When invoking the download method within torchvision.datasets.Caltech101 and Caltech256, the current Google Drive URLs no longer resolve and yield an error stating “Sorry, the file you have requested does not exist. Make sure that you have the correct URL and that the file exists.” Thus, the dataset is not downloadable.
Details
In the Caltech101.download implementation, the following calls are made:

download_and_extract_archive(
    "https://drive.google.com/file/d/137RyRjvTBkBiIfeYBNZBtViDHQ6_Ewsp",
    self.root,
    filename="101_ObjectCategories.tar.gz",
    md5="b224c7392d521a49829488ab0f1120d9",
)
download_and_extract_archive(
    "https://drive.google.com/file/d/175kQy3UsZ0wUEHZjqkUDdNVssr7bgh_m",
    self.root,
    filename="Annotations.tar",
    md5="6f83eeb1f24d99cab4eb377263132c91",
)

When these URLs are accessed directly, a 404‐style response is returned instead of the expected archive.

Similarly, in Caltech256.download, the code uses:

download_and_extract_archive(
    "https://drive.google.com/file/d/1r6o0pSROcV1_VwT4oSjA2FBUSCWGuxLK",
    self.root,
    filename="256_ObjectCategories.tar",
    md5="67b4f42ca05d46448c6bb8ecd2220f6d",
)

This Google Drive link also appears inactive.

Observed Error Message

Sorry, the file you have requested does not exist.
Make sure that you have the correct URL and that the file exists.

Thanks

Versions

Collecting environment information...
PyTorch version: 2.8.0.dev20250604+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04.2 LTS (x86_64)
GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.39

Python version: 3.12.9 | packaged by conda-forge | (main, Mar 4 2025, 22:48:41) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-6.11.0-26-generic-x86_64-with-glibc2.39
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 14
On-line CPU(s) list: 0-13
Vendor ID: GenuineIntel
Model name: Intel(R) Core(TM) Ultra 7 165U
CPU family: 6
Model: 170
Thread(s) per core: 2
Core(s) per socket: 12
Socket(s): 1
Stepping: 4
CPU(s) scaling MHz: 45%
CPU max MHz: 4900.0000
CPU min MHz: 400.0000
BogoMIPS: 5376.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb intel_ppin ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect user_shstk avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi vnmi umip pku ospke waitpkg gfni vaes vpclmulqdq rdpid bus_lock_detect movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr ibt flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 352 KiB (10 instances)
L1i cache: 640 KiB (10 instances)
L2 cache: 10 MiB (5 instances)
L3 cache: 12 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-13
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS Not affected; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] flake8==7.2.0
[pip3] mypy==1.16.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==2.2.5
[pip3] torch==2.8.0.dev20250604+cpu
[pip3] torchaudio==2.8.0.dev20250604+cpu
[pip3] torchvision==0.23.0.dev20250604+cpu
[conda] numpy 2.2.5 py312h72c5963_0 conda-forge
[conda] torch 2.8.0.dev20250604+cpu pypi_0 pypi
[conda] torchaudio 2.8.0.dev20250604+cpu pypi_0 pypi
[conda] torchvision 0.23.0.dev20250604+cpu pypi_0 pypi

JonasKlotz added a commit to JonasKlotz/vision that referenced this issue Jun 4, 2025
JonasKlotz added a commit to JonasKlotz/vision that referenced this issue Jun 4, 2025
JonasKlotz added a commit to JonasKlotz/vision that referenced this issue Jun 4, 2025
JonasKlotz added a commit to JonasKlotz/vision that referenced this issue Jun 4, 2025
@JonasKlotz JonasKlotz changed the title Report broken download links for Caltech101 and Caltech256 datasets Broken download links for Caltech101 and Caltech256 datasets Jun 5, 2025
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