rock_images_1 Image Dataset
Versions
27th Jan Final Harshill Bhaiya Dataset 1
v9
· 5 months ago
2024-01-20 8:38am
v8
· 5 months ago
2024-01-15 11:53am
v7
· 6 months ago
2024-01-13 5:07pm
v6
· 6 months ago
2024-01-13 4:09pm
v5
· 6 months ago
2024-01-13 12:48pm
v4
· 6 months ago
2024-01-13 12:29pm
v3
· 6 months ago
2024-01-13 9:08am
v2
· 6 months ago
2024-01-13 9:08am
v1
· 6 months ago
v8
2024-01-20 8:38am
Generated on Jan 20, 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.
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17595 Total Images
View All Images
Dataset Split
Train Set 87%
15384Images
Valid Set 10%
1698Images
Test Set 3%
513Images
Preprocessing
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
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