Emociones Dataset

Try Pre-Trained Model
Versions
80x80
v4
·
a year ago
320x320
v3
·
a year ago
1080x1080
v2
·
a year ago
640x640
v1
·
a year ago
v4

80x80

Generated on Apr 26, 2023
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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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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6295 Total Images

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Dataset Split

Train Set 95%
6000Images
Valid Set 3%
196Images
Test Set 2%
99Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 80x80

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±8° Horizontal, ±6° Vertical
Blur: Up to 2.75px
Noise: Up to 2% of pixels