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ML-WS22-Emotion Recognition

Object Detection

Dataset Versions

Try Pre-Trained Model

synthetic-gray scale-noise

v22

2 years ago

synthetic-no preprocessing-no augmentation

v21

2 years ago

stable-gray scale-noise_crop_rotate sheer

v19

2 years ago

stable-gray scale-noise_crop

v18

2 years ago

stable-gray scale-no augmentation

v17

2 years ago

stable-no preprocessing-no augmentation

v19

stable-gray scale-noise_crop_rotate sheer

Generated on Dec 7, 2022

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Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

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.

Other Formats

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1850 Total Images

View All Images

Dataset Split

Train Set 85%

1568Images

Valid Set 10%

182Images

Test Set 5%

100Images

Preprocessing

Auto-Orient: Applied

Grayscale: Applied

Augmentations

Outputs per training example: 2

Crop: 10% Minimum Zoom, 30% Maximum Zoom

Shear: ±15° Horizontal, ±15° Vertical

Bounding Box: Noise: Up to 5% of pixels

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