autism_hm Dataset
Versions
2024-04-23 1:45am
v9
· 5 months ago
2024-03-31 3:15am
v8
· 6 months ago
2024-03-31 2:18am
v7
· 6 months ago
2024-03-20 12:50pm
v6
· 7 months ago
2024-03-20 12:04pm
v5
· 7 months ago
2024-02-09 1:27am
v4
· 8 months ago
2024-02-09 1:09am
v3
· 8 months ago
2024-02-09 1:08am
v2
· 8 months ago
2024-02-09 1:03am
v1
· 8 months ago
v8
2024-03-31 3:15am
Generated on Mar 30, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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216 Total Images
View All Images
Dataset Split
Train Set 86%
186Images
Valid Set 9%
19Images
Test Set 5%
11Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%