LARGE-SCALE IMAGE DATA SCRAPING

Make image throughputand recovery production-ready

Collect public training images and image-text pairs with unmetered traffic, 10Gbps+ per-project capacity, and source-specific proxy pools.

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Unmetered project traffic10Gbps+ per-project capacityTarget-specific proxy poolsHTTP(S) and SOCKS access

image dataset pipelineworkers ready

Large-Scale Image Data123Proxy data network

Training imagesIMAGE

CaptionsCAPTION

Public labelsANNOTATION

ManifestQUEUE

URL listMANIFEST

High bandwidthPROXY

DownloadersWORKERS

CAPACITY10Gbps+

OBJECTSConcurrent

TRAFFICUnmetered

10Gbps+Per-project capacity

UnmeteredPredictable transfer cost

Custom poolsTarget-specific routing

24/7Enterprise support

Large-Scale Image Data

Bottlenecks Workloads Architecture Proxy strategy Validation Developers FAQ

01 / Workload

At scale, failed objectsmatter more than peak concurrency

Empty files, wrong formats, broken images, and duplicates must be connected to object-level retry and validation.

Large task queues

Partition manifests by source and batch.

Concurrent transfer

Plan connections and aggregate bandwidth.

Object-level recovery

Retry failures without repeating entire batches.

File validation

Check type, dimensions, hashes, and relationships.

02 / Scenarios

For high object countsand continuous recovery

The proxy layer supplies connectivity while the data pipeline owns decoding, deduplication, and quality.

Training image corpora

Download and validate public image objects.

Focus: valid objects

Image-text pairs

Keep captions and images linked by stable IDs.

Focus: relationships

Evaluation sets

Incrementally collect and deduplicate themed samples.

Focus: incremental

03 / Architecture

Drive downloads from manifests and recovery from validation

Every object should retain source, status, size, type, and hash.

Prepare URLs and metadata

Assign stable IDs and source fields.

Allocate pools by source

Separate queues and connection behavior.

Download and validate

Check status, type, size, and decoding.

Retry failed objects

Recover by reason without repeating the batch.

Data scraping architecture123Proxy network

URL listMANIFEST

Proxy poolROUTE

DownloadersWORKERS

Validated storeOUTPUT

Primary proxyHigh bandwidth

Task modelURL queue

Success unitValid image

04 / Proxy strategy

Use high-bandwidth proxy IP as the primary transfer layer

Large AI datasets are constrained first by aggregate throughput and transfer cost. Residential proxies are added only when a workload needs explicit geographic identity.

High-bandwidth proxy IP

Unmetered project traffic10Gbps+ per-project capacityTarget-specific proxy poolsHTTP(S) and SOCKS access

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Primary productHigh-bandwidth proxy IPUnmetered project capacity

Capacity10Gbps+Validated with representative targets

AccessHTTP(S) / SOCKSWorks with existing collectors

05 / Validation

Validate the useful object rate

Include broken files, wrong formats, and duplicates in the production metrics.

Valid images: Objects passing format and integrity checks
Useful object rate: Valid images relative to downloads
Transfer throughput: Successfully stored image bytes per time
Recovery rate: Failed objects recovered later
Duplicate rate: Objects removed by hash or perceptual rules
Relationship rate: Images correctly linked to captions or labels

Validate all capacity assumptions with representative public targets, real response sizes, retry behavior, and the required completion window.

06 / Developer access

Connect the downloader; keep quality logic in the pipeline

Requests, aiohttp, img2dataset, or internal services can use standard proxies while validation remains customer-owned.

Standard proxy configurationExplicit timeout and retry policyMeasure useful data throughput

Python / image objectIntegration example

import requests

proxy = "http://user:pass@proxy.123proxy.cn:9000"
response = requests.get(
    "https://target.example/public-image.jpg",
    proxies={"https": proxy},
    timeout=30,
)
response.raise_for_status()
assert response.headers["content-type"].startswith("image/")

07 / FAQ

Questions to answer before production

Validate workload boundaries, useful throughput, retry behavior, and dataset completeness with representative public targets.

Does the plan include deduplication or moderation?

No. Standard delivery is proxy infrastructure; quality and content processing remain in the customer pipeline.

Why do images need high bandwidth?

High object counts and recovery traffic create significant aggregate transfer.

Does unmetered mean unlimited speed?

No. Throughput depends on project capacity, targets, workers, and storage.

How do we block empty or invalid files?

Validate status, content type, size, decoding, and hashes.

Is img2dataset supported?

It can be used when configured with supported HTTP(S) proxy settings.

How should multiple sources be handled?

Partition queues by source and validate each source independently.

When are residential proxies useful?

For region-specific discovery pages, not as the default transfer layer.

What are the compliance boundaries?

Collect only lawfully accessible public images and respect intellectual-property, privacy, platform, and legal requirements.

Validate useful object rate with a real image list

Share sources, object counts, average size, tooling, and completion requirements.

Assess high-bandwidth capacity Contact sales