Minerals Image Dataset
Versions
Brightness- Between 0- and -30-
v5
Apr 17, 2023
Crop- 50- Minimum Zoom- 75- Maximum Zoom
v4
Apr 17, 2023
Crop- 25- Minimum Zoom- 50- Maximum Zoom
v3
Apr 17, 2023
No augmentations were applied.
v2
Apr 17, 2023
Crop- 25- Minimum Zoom- 50- Maximum Zoom Bounding Box- Brightness- Between 0- and -30-
v1
Apr 16, 2023
v5
Brightness- Between 0- and -30-
Generated on Apr 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.
1091 Total Images
View All Images
Dataset Split
Train Set 87%
950Images
Valid Set 9%
95Images
Test Set 4%
46Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Brightness: Between 0% and +30%
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