Thermal Images V2 Image Dataset
Versions
2022-03-23 9:51am
v5
Mar 23, 2022
Thermal_Images_V2_Dataset_Batch02_Mar_23_2022_NO_Further_Augmentations
v4
Mar 23, 2022
Thermal_Images_V2_Dataset_Batch02_Mar_23_2022_Augmentation_TEST02
v3
Mar 23, 2022
Thermal_Images_V2_Dataset_Batch01_Mar_20_2022_Augmentation_TEST01
v2
Mar 21, 2022
Thermal_Images_V2_Dataset_Batch01_Mar_20_2022
v1
Mar 21, 2022
v3
Thermal_Images_V2_Dataset_Batch02_Mar_23_2022_Augmentation_TEST02
Generated on Mar 23, 2022
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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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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8782 Total Images
View All Images
Dataset Split
Train Set 95%
8307Images
Valid Set 3%
307Images
Test Set 2%
168Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -30% and +30%
Blur: Up to 2.75px
Noise: Up to 6% of pixels
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