learning rate Image Dataset
Versions
2024-03-27 7:14pm
v9
Mar 27, 2024
2024-03-27 11:03am
v8
Mar 27, 2024
2024-03-26 11:11pm
v7
Mar 26, 2024
2024-03-25 9:56pm
v6
Mar 25, 2024
2024-03-25 8:56pm
v5
Mar 25, 2024
2024-03-22 10:39pm
v4
Mar 22, 2024
2024-03-21 8:36pm
v3
Mar 21, 2024
2024-03-21 8:25pm
v2
Mar 21, 2024
2024-03-21 8:02pm
v1
Mar 21, 2024
v9
2024-03-27 7:14pm
Generated on Mar 27, 2024
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.
967 Total Images
View All Images
Dataset Split
Train Set 95%
915Images
Valid Set 4%
34Images
Test Set 2%
18Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Exposure: Between -20% and +20%
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