This project contains archived endpoints!

We recently moved team projects into workspaces and had to generate new endpoints. To prevent notebook and production errors, we preserved the original endpoints here. Update your notebooks and inference endpoints to reference the active project, then delete this archive.

View active project in the new workspace →

Dataset Versions

v2

3x_aug

Generated on May 19, 2021

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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Dataset Split

Train Set 87%
53490Images
Valid Set 8%
5094Images
Test Set 4%
2549Images

Preprocessing

Resize: Stretch to 300x300

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%