emotion Image Dataset
Versions
2023-09-17 12:53pm
v12
Sep 17, 2023
2023-09-16 9:02pm
v11
Sep 16, 2023
2023-09-16 8:27pm
v10
Sep 16, 2023
2023-09-16 8:22pm
v9
Sep 16, 2023
2023-09-16 8:06pm
v8
Sep 16, 2023
2023-09-14 8:31pm
v7
Sep 14, 2023
2023-09-08 11:48am
v6
Sep 8, 2023
2023-09-07 4:50pm
v5
Sep 7, 2023
2023-09-01 12:00pm
v4
Sep 1, 2023
2023-08-31 10:43am
v3
Aug 31, 2023
2023-08-31 8:08am
v2
Aug 31, 2023
2023-08-25 12:04pm
v1
Aug 25, 2023
v12
2023-09-17 12:53pm
Generated on Sep 17, 2023
Popular Download Formats
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
Choose another format.
742 Total Images
View All ImagesDataset Split
Train Set 87%
648Images
Valid Set 8%
63Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 5% of images
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Exposure: Between -25% and +25%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%
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