Mars orbital images of fresh impacts from CTX
<p><strong>Mars orbital images of fresh impacts from CTX</strong></p> <p>This data set contains images obtained from observations of Mars by the Context Camera (CTX) on the Mars Reconnaissance Orbiter. Each image in this collection is a cropped region of roughly 1.8 x 1.8 km (300 x 300 pixels at 6 m/pixel). The data set consists of "positive" images centered on the location of known fresh impacts on the surface of Mars (using a fresh impact catalog [1]) and "negative" examples obtained by randomly sampling CTX images (uniformly over the surface of Mars).</p> <p><strong>Contents</strong></p> <p>The 6829 images are divided into training and validation sets to capture the configuration used to train a fresh impacts image classifier [2]. However, they can be pooled together as a single data set for other purposes (but note that augmented versions are provided only for the training data). </p> <ul> <li>training_data/: 6156 images + 5 augmented versions per image</li> <li>validation_data/: 673 images (not augmented)</li> </ul> <p>Labels are indicated in the filenames. Positive examples start with a 0, and negative examples start with a - (negative sign).</p> <p>We employed augmentation on the training examples to generate 5 augmented versions per original image. The augmentation is indicated at the end of the filename: </p> <ul> <li>AUG-HF: Horizontal flip</li> <li>AUG-VF: Vertical flip</li> <li>AUG-RO: Rotate (randomly choose 90, 180, or 270 degrees)</li> <li>AUG-CJ: Image adjustment (minor random adjustment to brightness/contrast/saturation/hue)</li> <li>AUG-BL: Blur (Gaussian filter with radius 2) </li> </ul> <p><strong>References</strong> </p> <p>[1] Daubar, I.J., McEwen, A.S., Byrne, S., Kennedy, M.R., and Ivanov, B. (2013). "The current martian cratering rate," Icarus 225, 506-516. doi:10.1016/j.icarus.2013.04.009.</p> <p>[2] Munje, M. (2021). Martian Fresh Impact Classifier (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.552336</p> <p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4